Publications

Analytic Computing

  1. 2022

    1. Aspandi, D., Sukno, F., Schuller, B. W., & Binefa, X. (2022). Audio-Visual Gated-Sequenced Neural Networks for Affect Recognition. IEEE Transactions on Affective Computing, 1–1. https://doi.org/10.1109/TAFFC.2022.3156026
    2. Baier, A., & Staab, S. (2022). A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances. https://doi.org/10.18419/darus-2905
    3. Boulanger, C., & Iurshina, A. (2022). Extracting bibliographic references from footnotes with EXcite-docker (P. M. Tobias Backes, Anastasiia Iurshina, Ed.).
    4. Boutalbi, R., Labiod, L., & Nadif, M. (2022). Latent Block Regression Mode. The 17th Conference of the International Federation of Classification Societies (IFCS). The 17th conference of the International Federation of Classification Societies (IFCS), The 17th conference of the International Federation of Classification Societies (IFCS).
    5. Boutalbi, R., Ait-Saada, M., Iurshina, A., Staab, S., & Nadif, M. (2022). Tensor-based Graph Modularity for Text Data Clustering.
    6. Boutalbi, R., Labiod, L., & Nadif, M. (2022). TensorClus: A python library for tensor (Co)-clustering. Neurocomputing, 468, 464–468. https://doi.org/10.1016/j.neucom.2021.09.036
    7. Christian Boulanger, A. I. (2022). Extracting bibliographic references from footnotes with EXcite-docker (P. M. Tobias Backes, Anastasiia Iurshina, Ed.).
    8. Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022, September). Inferential Reasoning in Co-Design Using Semantic Web Standards alongside BHoM. Proceedings of 33. Forum Bauinformatik.
    9. Elshani, D., Lombardi, A., Fisher, A., Staab, S., Hernández, D., & Wortmann, T. (2022, May). Knowledge Graphs for Multidisciplinary Co-Design: Introducing RDF to BHoM. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.
    10. Elshani, D., Wortmann, T., & Staab, S. (2022, May). Towards Better Co-Design with Disciplinary Ontologies: Review and Evaluation of Data Interoperability in the AEC Industry. In Proceedings of LDAC2022 - 10th Linked Data in Architecture and Construction Workshop. LDAC2022 - 10th Linked Data in Architecture and Construction Workshop, Hersonissos, Greece.
    11. Hedeshy, R., Chandan, K., Mike, L., & Steffen, S. (2022). All Birds Must Fly: The Experience of Multimodal Hands-free Gaming with Gaze and Nonverbal Voice Synchronization. INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (ICMI ’22), November 7--11, 2022, Bengaluru, India. https://doi.org/10.1145/3536221.3556593
    12. Iurshina, A., Pan, J., Boutalbi, R., & Staab, S. (2022). NILK: Entity Linking Dataset Targeting NIL-Linking Cases. https://doi.org/10.1145/3511808.3557659
    13. Joshi, R. S., Rigau, M., García-Prieto, C. A., Castro de Moura, M., Piñeyro, D., Moran, S., Davalos, V., Carrión, P., Ferrando-Bernal, M., Olalde, I., Lalueza-Fox, C., Navarro, A., Fernández-Tena, C., Aspandi, D., Sukno, F. M., Binefa, X., Valencia, A., & Esteller, M. (2022). Look-alike humans identified by facial recognition algorithms show genetic similarities. Cell Reports, 40(8), 111257. https://doi.org/10.1016/j.celrep.2022.111257
    14. Rodriguez-Diaz, N., Aspandi, D., Federico M., S., & Binefa, X. (2022). Machine Learning-Based Lie Detector Applied to a Novel Annotated Game Dataset. Future Internet, 14(1), 2. https://doi.org/10.3390/fi14010002
    15. Schneider, T., Qiu, C., Kloft, M., Aspandi-Latif, D., Staab, S., Mandt, S., & Rudolph, M. (2022). Detecting Anomalies within Time Series using Local Neural Transformations. ArXiv Preprint. https://arxiv.org/abs/2202.03944
    16. Xiong, B., Potyka, N., Tran, T.-K., Nayyeri, M., & Staab, S. (2022). Faithful Embedding for EL++ Knowledge Bases. Proceedings of the 21st International Semantic Web Conference (ISWC 2022), 1–16. https://arxiv.org/abs/2201.09919
    17. Xiong, B., Cochez, M., Nayyeri, M., & Staab, S. (2022). Hyperbolic Embedding Inference for Structured Multi-Label Prediction. Advances in Neural Information Processing Systems 2022. https://openreview.net/forum?id=XFnDhcEH9FF
    18. Xiong, B., Zhu, S., Potyka, N., Pan, S., Zhou, C., & Staab, S. (2022). Pseudo-Riemannian Graph Convolutional Networks. Advances in Neural Information Processing Systems. https://arxiv.org/abs/2106.03134
    19. Xiong, B., Zhu, S., Nayyeri, M., Xu, C., Pan, S., Zhou, C., & Staab, S. (2022, August). Ultrahyperbolic Knowledge Graph Embeddings. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/3534678.3539333
    20. Xu, C., Su, F., Xiong, B., & Lehmann, J. (2022). Time-aware Entity Alignment using Temporal Relational Attention. Proceedings of the ACM Web Conference 2022, 788--797. https://doi.org/10.1145/3485447.3511922
  2. 2021

    1. Aspandi, D., Sukno, F., Schuller, B., & Binefa, X. (2021). An Enhanced Adversarial Network with Combined Latent Features for Spatio-Temporal Facial Affect Estimation in the Wild. International Conference on Computer Vision Theory and Applications (VISAPP), 16, 172–181. https://doi.org/10.5220/0010332001720181
    2. Aspandi, D., Martinez, O., Sukno, F., & Binefa, X. (2021). Composite recurrent network with internal denoising for facial alignment in still and video images in the wild. Image and Vision Computing, 104189. https://doi.org/10.1016/j.imavis.2021.104189
    3. Baier, A., Boukhers, Z., & Staab, S. (2021). Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction. http://arxiv.org/abs/2103.06727
    4. Boutalbi, R., Labiod, L., & Nadif, M. (2021). Implicit consensus clustering from multiple graphs. Data Mining and Knowledge Discovery, 35(6), 2313--2340.
    5. Hedeshy, R., Kumar, C., Menges, R., & Staab, S. (2021). Hummer: Text Entry by Gaze and Hum. CHI Conference on Human Factors in Computing Systems (CHI ’21), May 8--13, 2021, Yokohama, Japan. https://doi.org/10.1145/3411764.3445501
    6. Hernández, D., Galárraga, L., & Hose, K. (2021). Computing how-provenance for SPARQL queries via query rewriting (No. 13). 14(13), 3389--3401. https://doi.org/10.14778/3484224.3484235
    7. Potyka, N. (2021). Interpreting Neural Networks as Gradual Argumentation Frameworks. AAAI Conference on Artificial Intelligence (AAAI), to appear. https://www.researchgate.net/publication/346933696_Interpreting_Neural_Networks_as_Gradual_Argumentation_Frameworks_Including_Proof_Appendix
    8. Tedjasaputra, J. (Adi), Samson, B. P. V., Ghazali, M., Sari, E., Sarcar, S., Gamage, D., Fujita, K., Jain, P., Jena, A., Monserrat, T.-J. K. P., Sindi, N., Zhao, K., Deja, J. A., Fotedar, M., Joshi, M., Li, Y., Lu, Z., Matsufuji, A., Miyafuji, S., … Taufiqulhakim, U. (2021). Asian CHI Symposium: HCI Research from Asia and on Asian Contexts and Cultures. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 80, 1–5. https://doi.org/10.1145/3411763.3441341
  3. 2020

    1. Aspandi, D., Mallol-Ragolta, A., Schuller, B., & Binefa, X. (2020). Latent-Based Adversarial Neural Networks for Facial Affect Estimations. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 606–610. https://doi.org/10.1109/FG47880.2020.00053
    2. Comas, J., Aspandi, D., Ballester, M., Ballester, L., Carreras, F., & Binefa, X. (2020). “Short-term Impact of Polarity Therapy on Physiological Signals in Chronic Anxiety Patients". International Conference on Bioinformatics and Computational Biology (ICBCB 2020), 8. http://www.icbcb.org/ICBCB2020.html
    3. Comas, J., Aspandi, D., & Binefa, X. (2020). End-to-end Facial and Physiological Model for Affective Computing and Applications. 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 93–100. https://doi.org/10.1109/FG47880.2020.00001
    4. Hedeshy, R., Kumar, C., Menges, R., & Staab, S. (2020). GIUPlayer: A Gaze Immersive YouTube Player Enabling Eye Control                and Attention Analysis. ETRA ’20 Adjunct: 2020 Symposium on Eye Tracking Research and Applications,                Stuttgart, Germany, June 2-5, 2020, Adjunct Volume, 1:1--1:3. https://doi.org/10.1145/3379157.3391984
    5. Hogan, A., Blomqvist, E., Cochez, M., d’Amato, C., de Melo, G., Gutierrez, C., Gayo, J. E. L., Kirrane, S., Neumaier, S., Polleres, A., Navigli, R., Ngomo, A.-C. N., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J. F., Staab, S., & Zimmermann, A. (2020). Knowledge Graphs. CoRR, abs/2003.02320. https://arxiv.org/abs/2003.02320
    6. Ibs, I., & Potyka, N. (2020). Explainable Automated Reasoning in Law using Probabilistic Epistemic Argumentation. In Workshop on Models of Legal Reasoning (MLR). https://www.researchgate.net/publication/344218713_Explainable_Automated_Reasoning_in_Law_using_Probabilistic_Epistemic_Argumentation
    7. Janke, D., Staab, S., & Leinberger, M. (2020). Data placement strategies that speed-up distributed graph query processing. Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD              2020, Portland, Oregon, USA, June 19, 2020, 2:1--2:6. https://doi.org/10.1145/3391274.3393633
    8. Koltcov, S., Ignatenko, V., Boukhers, Z., & Staab, S. (2020). Analyzing the Influence of Hyper-parameters and Regularizers of Topic                Modeling in Terms of Renyi Entropy. Entropy, 22(4), 394. https://doi.org/10.3390/e22040394
    9. Kumar, C., Menges, R., Sengupta, K., & Staab, S. (2020). Eye tracking for interaction: evaluation methods. Signal Processing to Drive Human-Computer Interaction: EEG and Eye-Controlled Interfaces, 117.
    10. Kumar, C., Hedeshy, R., MacKenzie, I. S., & Staab, S. (2020). TAGSwipe: Touch Assisted Gaze Swipe for Text Entry. CHI ’20: CHI Conference on Human Factors in Computing Systems,              Honolulu, HI, USA, April 25-30, 2020, 1--12. https://doi.org/10.1145/3313831.3376317
    11. Lange, L., Iurshina, A., Adel, H., & Strötgen, J. (2020). Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text. RepL4NLP at ACL 2020, abs/2005.09392. https://arxiv.org/abs/2005.09392
    12. Menges, R., Kramer, S., Hill, S., Nisslmueller, M., Kumar, C., & Staab, S. (2020). A Visualization Tool for Eye Tracking Data Analysis in the Web. ETRA ’20: 2020 Symposium on Eye Tracking Research and Applications,                Short Papers, Stuttgart, Germany, June 2-5, 2020, 46:1--46:5. https://doi.org/10.1145/3379156.3391831
    13. Ntoutsi, E., Fafalios, P., Gadiraju, U., Iosifidis, V., Nejdl, W., Vidal, M.-E., Ruggieri, S., Turini, F., Papadopoulos, S., Krasanakis, E., Kompatsiaris, I., Kinder-Kurlanda, K., Wagner, C., Karimi, F., Fernández, M., Alani, H., Berendt, B., Kruegel, T., Heinze, C., … Staab, S. (2020). Bias in data-driven artificial intelligence systems - An introductory                survey. Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 10(3), Article 3. https://doi.org/10.1002/widm.1356
    14. Potyka, N. (2020). Abstract Argumentation with Markov Networks. European Conference on Artificial Intelligence (ECAI), 865–872. https://www.researchgate.net/publication/338886145_Abstract_Argumentation_with_Markov_Networks
    15. Potyka, N. (2020). Bipolar Abstract Argumentation with Dual Attacks and Supports. International Conference on Principles of Knowledge Representation and Reasoning (KR), 677–686. https://www.researchgate.net/publication/342571778_Bipolar_Abstract_Argumentation_with_Dual_Attacks_and_Supports
    16. Potyka, N. (2020). Foundations for Solving Classification Problems with Quantitative Abstract Argumentation. In International Workshop on Explainable and Interpretable Machine Learning (XI-ML). https://www.researchgate.net/publication/344739018_Foundations_for_Solving_Classification_Problems_with_Quantitative_Abstract_Argumentation
    17. Schneider, R., Oberhauser, T., Grundmann, P., Gers, F. A., Löser, A., & Staab, S. (2020). Is Language Modeling Enough? Evaluating Effective Embedding Combinations. Proceedings of The 12th Language Resources and Evaluation Conference,                LREC 2020, Marseille, France, May 11-16, 2020, 4739--4748. https://www.aclweb.org/anthology/2020.lrec-1.583/
    18. Sengupta, K., Sarcar, S., Pradhan, A., McNaney, R., Sayago, S., Chattopadhyay, D., & Joshi, A. (2020). Challenges and Opportunities of Leveraging Intelligent Conversational Assistant to Improve the Well-Being of Older Adults. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 1–4. https://doi.org/10.1145/3334480.3381057
    19. Sengupta, K., Bhattarai, S., Sarcar, S., MacKenzie, I. S., & Staab, S. (2020). Leveraging Error Correction in Voice-based Text Entry by Talk-and-Gaze. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 11. https://doi.org/10.1145/3313831.3376579
    20. Sun, J., Medo, M., & Staab, S. (2020). Time-invariant degree growth in preferential attachment network models. Physical Review E, 101 (2)(2), Article 2. https://arxiv.org/abs/2001.08132
    21. Wong, E., Schneider, T., Schmitt, J., Schmidt, F. R., & Kolter, J. Z. (2020). Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications. 2020 IEEE Intelligent Vehicles Symposium (IV), 1753–1758. https://doi.org/10.1109/IV47402.2020.9304765
  4. 2019

    1. Aspandi, D., Martinez, O., Sukno, F., & Binefa, X. (2019). Fully End-to-End Composite Recurrent Convolution Network for Deformable Facial Tracking In The Wild. 2019 14th IEEE International Conference on Automatic Face  Gesture Recognition (FG 2019), 1–8. https://doi.org/10.1109/FG.2019.8756630
    2. Aspandi, D., Martinez, O., & Binefa, X. (2019). Heatmap-Guided Balanced Deep Convolution Networks for Family Classification in the Wild. 2019 14th IEEE International Conference on Automatic Face  Gesture Recognition (FG 2019), 1–5. https://doi.org/10.1109/FG.2019.8756557
    3. Aspandi, D., Martinez, O., Sukno, F., & Binefa, X. (2019). Robust Facial Alignment with Internal Denoising Auto-Encoder. 2019 16th Conference on Computer and Robot Vision (CRV), 143–150. https://doi.org/10.1109/CRV.2019.00027
    4. Baris, I., Schmelzeisen, L., & Staab, S. (2019). CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors. In J. May, E. Shutova, A. Herbelot, X. Zhu, M. Apidianaki, & S. M. Mohammad (Eds.), SemEval@NAACL-HLT (pp. 1105–1109). Association for Computational Linguistics. https://doi.org/10.18653/v1/s19-2193
    5. Boukhers, Z., Ambhore, S., & Staab, S. (2019). An End-to-End Approach for Extracting and Segmenting High-Variance                References from PDF Documents. 19th ACM/IEEE Joint Conference on Digital Libraries, JCDL 2019,                Champaign, IL, USA, June 2-6, 2019, 186--195. https://doi.org/10.1109/JCDL.2019.00035
    6. Furbach, U., Krämer, T., & Schon, C. (2019). Names Are Not Just Sound and Smoke: Word Embeddings for Axiom Selection. In P. Fontaine (Ed.), International Conference on Automated Deduction CADE (Vol. 11716, pp. 250--268). Springer. https://doi.org/10.1007/978-3-030-29436-6\_15
    7. Hunter, A., Polberg, S., & Potyka, N. (2019). Delegated updates in epistemic graphs for opponent modelling. International Journal of Approximate Reasoning, 113, 207–244. https://doi.org/10.1016/j.ijar.2019.07.006
    8. Kumar, C., Akbari, D., Menges, R., MacKenzie, I. S., & Staab, S. (2019). TouchGazePath: Multimodal Interaction with Touch and Gaze Path for                Secure Yet Efficient PIN Entry. International Conference on Multimodal Interaction, ICMI 2019, Suzhou,                China, October 14-18, 2019, 329--338. https://doi.org/10.1145/3340555.3353734
    9. Leinberger, M., Seifer, P., Schon, C., Lämmel, R., & Staab, S. (2019). Type Checking Program Code Using SHACL. The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference,                Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I, 399--417. https://doi.org/10.1007/978-3-030-30793-6\_23
    10. Leinberger, M., Seifer, P., Schon, C., Lämmel, R., & Staab, S. (2019). Type Checking Program Code using SHACL (Extended Version). CoRR, abs/1907.00855. http://arxiv.org/abs/1907.00855
    11. Lohr, M., Hund, J., Jürjens, J., & Staab, S. (2019). Ensuring Genuineness for Selectively Disclosed Confidential Data Using                Distributed Ledgers: Applications to Rail Wayside Monitoring. IEEE International Conference on Blockchain, Blockchain 2019, Atlanta,                GA, USA, July 14-17, 2019, 477--482. https://doi.org/10.1109/Blockchain.2019.00072
    12. Menges, R., Kumar, C., & Staab, S. (2019). Improving User Experience of Eye Tracking-Based Interaction: Introspecting                and Adapting Interfaces. ACM Trans. Comput. Hum. Interact., 26(6), 37:1--37:46. https://doi.org/10.1145/3338844
    13. Potyka, N. (2019). A polynomial-time fragment of epistemic probabilistic argumentation. International Journal of Approximate Reasoning, 115, 265–289. https://doi.org/10.1016/j.ijar.2019.10.005
    14. Potyka, N. (2019). Extending Modular Semantics for Bipolar Weighted Argumentation. In E. Elkind, M. Veloso, N. Agmon, & M. E. Taylor (Eds.), International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) (pp. 1722–1730). International Foundation for Autonomous Agents and Multiagent Systems. http://dl.acm.org/citation.cfm?id=3331903
    15. Potyka, N. (2019). Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract). In C. Benzmüller & H. Stuckenschmidt (Eds.), German Conference on Artificial Intelligence (KI) (Vol. 11793, pp. 273–276). Springer. https://doi.org/10.1007/978-3-030-30179-8\_23
    16. Potyka, N. (2019). Open-Mindedness of Gradual Argumentation Semantics. In N. B. Amor, B. Quost, & M. Theobald (Eds.), International Conference on Scalable Uncertainty Management (SUM) (Vol. 11940, pp. 236–249). Springer. https://doi.org/10.1007/978-3-030-35514-2\_18
    17. Potyka, N., Polberg, S., & Hunter, A. (2019). Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation. In G. Kern-Isberner & Z. Ognjanovic (Eds.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) (Vol. 11726, pp. 74–86). Springer. https://doi.org/10.1007/978-3-030-29765-7\_7
    18. Potyka, N., Polberg, S., & Hunter, A. (2019). Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report). CoRR, abs/1906.05066. http://arxiv.org/abs/1906.05066
    19. Ramadan, Q., Ahmadian, A. S., Jürjens, J., Staab, S., & Strüber, D. (2019). Explaining Algorithmic Decisions with respect to Fairness. In S. Becker, I. Bogicevic, G. Herzwurm, & S. Wagner (Eds.), SE/SWM: Vol. P-292 (pp. 161–162). GI. http://dblp.uni-trier.de/db/conf/se/se2019.html#RamadanAJS019
    20. Schmelzeisen, L., & Staab, S. (2019). Learning Taxonomies of Concepts and not Words using Contextualized                Word Representations: A Position Paper. CoRR, abs/1902.02169. http://arxiv.org/abs/1902.02169
    21. Seifer, P., Härtel, J., Leinberger, M., Lämmel, R., & Staab, S. (2019). Empirical study on the usage of graph query languages in open source                Java projects. Proceedings of the 12th ACM SIGPLAN International Conference on                Software Language Engineering, SLE 2019, Athens, Greece, October              20-22, 2019, 152--166. https://doi.org/10.1145/3357766.3359541
    22. Seifer, P., Leinberger, M., Lämmel, R., & Staab, S. (2019). Semantic Query Integration With Reason. Programming Journal, 3(3), 13. https://doi.org/10.22152/programming-journal.org/2019/3/13
    23. Sengupta, K., Menges, R., Kumar, C., & Staab, S. (2019). Impact of Variable Positioning of Text Prediction in Gaze-based Text Entry. Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 74:1--74:9. https://doi.org/10.1145/3317956.3318152
    24. Skubella, A., Janke, D., & Staab, S. (2019). BeSEPPI: Semantic-Based Benchmarking of Property Path Implementations. The Semantic Web - 16th International Conference, ESWC 2019, Portoroz,                Slovenia, June 2-6, 2019, Proceedings, 475--490. https://doi.org/10.1007/978-3-030-21348-0\_31
    25. Staab, S. (2019). Concepts in Application Context. In D. Cristea, F. L. Ber, & B. Sertkaya (Eds.), ICFCA (Vol. 11511, pp. 45–52). Springer. http://dblp.uni-trier.de/db/conf/icfca/icfca2019.html#Staab19
    26. Staab, S. (2019). Eyeing the Web. Proceedings of the 15th International Conference on Web Information              Systems and Technologies, WEBIST 2019, Vienna, Austria, September              18-20, 2019, 5.
    27. Staab, S., Halford, S., & Hall, W. (2019). Web science in Europe: beyond boundaries. Commun. ACM, 62(4), 74. http://dblp.uni-trier.de/db/journals/cacm/cacm62.html#StaabHH19
  5. 2018

    1. Frank, D., Zelazo, D., & Allgöwer, F. (2018). Bearing-Only Formation Control with Limited Visual Sensing: Two Agent Case. IFAC-PapersOnLine, 51(23), 28--33. https://doi.org/10.1016/j.ifacol.2018.12.006
    2. Gottron, T., & Staab, S. (2018). Linked Open Data. In Encyclopedia of Social Network Analysis and Mining, 2nd Edition. https://doi.org/10.1007/978-1-4939-7131-2\_111
    3. Gottron, T., & Staab, S. (2018). RDF. In Encyclopedia of Social Network Analysis and Mining, 2nd Edition. https://doi.org/10.1007/978-1-4939-7131-2\_114
    4. Hernández, D., Gutiérrez, C., & Hogan, A. (2018). Certain Answers for SPARQL with Blank Nodes. In D. Vrandecic, K. Bontcheva, M. C. Suárez-Figueroa, V. Presutti, I. Celino, M. Sabou, L.-A. Kaffee, & E. Simperl (Eds.), The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part I (Vol. 11136, pp. 337--353). Springer. https://doi.org/10.1007/978-3-030-00671-6_20
    5. Hernández, D., Gutierrez, C., & Angles, R. (2018). The problem of correlation and substitution in SPARQL-Extended Version. In arXiv (ArXiv). https://doi.org/10.48550/arXiv.1801.04387
    6. Hunter, A., Polberg, S., & Potyka, N. (2018). Updating Belief in Arguments in Epistemic Graphs. In M. Thielscher, F. Toni, & F. Wolter (Eds.), International Conference on Principles of Knowledge Representation and Reasoning (KR) (pp. 138–147). AAAI Press. https://aaai.org/ocs/index.php/KR/KR18/paper/view/17982
    7. Janke, D., & Staab, S. (2018). Compressing and Maintaining Statistics Information about Resource                Occurrences in a Distributed RDF Store. Proceedings of the ISWC 2018 Posters & Demonstrations, Industry              and Blue Sky Ideas Tracks Co-Located with 17th International Semantic              Web Conference (ISWC 2018), Monterey, USA, October 8th - to - 12th,                2018. http://ceur-ws.org/Vol-2180/paper-27.pdf
    8. Janke, D., Staab, S., & Thimm, M. (2018). Impact analysis of data placement strategies on query efforts in distributed                RDF stores. J. Web Semant., 50, 21--48. https://doi.org/10.1016/j.websem.2018.02.002
    9. Janke, D., & Staab, S. (2018). Storing and Querying Semantic Data in the Cloud. Reasoning Web. Learning, Uncertainty, Streaming, and Scalability -                14th International Summer School 2018, Esch-Sur-Alzette, Luxembourg,                September 22-26, 2018, Tutorial Lectures, 173--222. https://doi.org/10.1007/978-3-030-00338-8\_7
    10. Potyka, N. (2018). A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report). CoRR, abs/1811.12083. http://arxiv.org/abs/1811.12083
    11. Potyka, N. (2018). A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor. CoRR, abs/1811.12787. http://arxiv.org/abs/1811.12787
    12. Potyka, N. (2018). Continuous Dynamical Systems for Weighted Bipolar Argumentation. In M. Thielscher, F. Toni, & F. Wolter (Eds.), International Conference on Principles of Knowledge Representation and Reasoning (KR) (pp. 148–157). AAAI Press. https://aaai.org/ocs/index.php/KR/KR18/paper/view/17985
    13. Potyka, N. (2018). Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report). CoRR, abs/1809.07133. http://arxiv.org/abs/1809.07133
    14. Potyka, N. (2018). Measuring Disagreement among Knowledge Bases. In T. Lukasiewicz, R. Peñaloza, & A.-Y. Turhan (Eds.), Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness (PRUV) (Vol. 2157). CEUR-WS.org. http://ceur-ws.org/Vol-2157/paper3.pdf
    15. Ramadan, Q., Ahmadian, A. S., Strüber, D., Jürjens, J., & Staab, S. (2018). Model-based discrimination analysis: a position paper. Proceedings of the International Workshop on Software Fairness, FairWare@ICSE              2018, Gothenburg, Sweden, May 29, 2018, 22--28. https://doi.org/10.1145/3194770.3194775
    16. Ramadan, Q., Ahmadian, A. S., Strüber, D., Jürjens, J., & Staab, S. (2018). Model-based discrimination analysis: a position paper. In Y. Brun, B. Johnson, & A. Meliou (Eds.), FairWare@ICSE (pp. 22–28). ACM. http://dblp.uni-trier.de/db/conf/icse/fairware2018.html#RamadanA0JS18
    17. Schon, C., Staab, S., Kügler, P., Kestel, P., Schleich, B., & Wartzack, S. (2018). Metaproperty-Guided Deletion from the Instance-Level of a Knowledge                Base. Knowledge Engineering and Knowledge Management - 21st International              Conference, EKAW 2018, Nancy, France, November 12-16, 2018, Proceedings, 407--423. https://doi.org/10.1007/978-3-030-03667-6\_26
    18. Schwagereit, F., & Staab, S. (2018). Social Networks. In Encyclopedia of Database Systems, Second Edition. https://doi.org/10.1007/978-1-4614-8265-9\_1226
    19. Sengupta, K., Ke, M., Menges, R., Kumar, C., & Staab, S. (2018). Hands-free web browsing: enriching the user experience with gaze and                voice modality. Proceedings of the 2018 ACM Symposium on Eye Tracking Research &              Applications, ETRA 2018, Warsaw, Poland, June 14-17, 2018, 88:1--88:3. https://doi.org/10.1145/3204493.3208338
    20. Social Informatics - 10th International Conference, SocInfo 2018,                St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part I. (2018). In S. Staab, O. Koltsova, & D. I. Ignatov (Eds.), Lecture Notes in Computer Science (Vol. 11185). Springer. https://doi.org/10.1007/978-3-030-01129-1
    21. Social Informatics - 10th International Conference, SocInfo 2018, St. Petersburg, Russia, September 25-28, 2018, Proceedings, Part II. (2018). In S. Staab, O. Koltsova, & D. I. Ignatov (Eds.), SocInfo (2) (Vol. 11186). Springer. http://dblp.uni-trier.de/db/conf/socinfo/socinfo2018-2.html
    22. Staab, S., Lehmann, J., & Verborgh, R. (2018). Structured Knowledge on the Web 7.0. In P.-A. Champin, F. L. Gandon, M. Lalmas, & P. G. Ipeirotis (Eds.), WWW (Companion Volume) (pp. 885–886). ACM. http://dblp.uni-trier.de/db/conf/www/www2018c.html#StaabLV18
    23. Sun, J., Staab, S., & Karimi, F. (2018). Decay of Relevance in Exponentially Growing Networks. Proceedings of the 10th ACM Conference on Web Science, WebSci 2018,                Amsterdam, The Netherlands, May 27-30, 2018, 343--351. https://doi.org/10.1145/3201064.3201084
    24. Sun, J., Staab, S., & Kunegis, J. (2018). Understanding Social Networks Using Transfer Learning. IEEE Computer, 51(6), 52--60. https://doi.org/10.1109/MC.2018.2701640
    25. Teymourlouie, M., Zaeri, A., Nematbakhsh, M., Thimm, M., & Staab, S. (2018). Detecting Hidden Errors in an Ontology Using Contextual Knowledge. Expert Systems with Applications, 95, 312--323.
    26. Thuermer, G., Roth, S., O’Hara, K., & Staab, S. (2018). Everybody Thinks Online Participation is Great - for Somebody Else: A Qualitative and Quantitative Analysis of Perceptions and Expectations of Online Participation in the Green Party Germany. In H. Akkermans, K. Fontaine, I. Vermeulen, G.-J. Houben, & M. S. Weber (Eds.), WebSci (pp. 287–296). ACM. http://dblp.uni-trier.de/db/conf/websci/websci2018.html#ThuermerROS18
    27. Timm, I. J., Staab, S., Siebers, M., Schon, C., Schmid, U., Sauerwald, K., Reuter, L., Ragni, M., Niederée, C., Maus, H., Kern-Isberner, G., Jilek, C., Friemann, P., Eiter, T., Dengel, A., Dames, H., Bock, T., Berndt, J. O., & Beierle, C. (2018). Intentional Forgetting in Artificial Intelligence Systems: Perspectives                and Challenges. KI 2018: Advances in Artificial Intelligence - 41st German Conference              on AI, Berlin, Germany, September 24-28, 2018, Proceedings, 357--365. https://doi.org/10.1007/978-3-030-00111-7\_30
  6. 2017

    1. Beierle, C., Finthammer, M., Potyka, N., Varghese, J., & Kern-Isberner, G. (2017). A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic. FLAP, 4(7), Article 7. http://www.collegepublications.co.uk/downloads/ifcolog00016.pdf
    2. Hall, W., Hendler, J., & Staab, S. (2017). A Manifesto for Web Science @ 10. CoRR, abs/1702.08291. http://arxiv.org/abs/1702.08291
    3. Hernández, D., & Gutiérrez, C. (2017). Semantics for Querying Paths in Graph Databases: No-repeated-node or No-repeated-edge? In J. L. Reutter & D. Srivastava (Eds.), Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, Montevideo, Uruguay, June 7-9, 2017. (Vol. 1912). CEUR-WS.org. http://ceur-ws.org/Vol-1912/paper13.pdf
    4. Hunter, A., & Potyka, N. (2017). Updating Probabilistic Epistemic States in Persuasion Dialogues. In A. Antonucci, L. Cholvy, & O. Papini (Eds.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) (Vol. 10369, pp. 46–56). Springer. https://doi.org/10.1007/978-3-319-61581-3\_5
    5. Reasoning Web. Semantic Interoperability on the Web - 13th International                Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures. (2017). In G. Ianni, D. Lembo, L. E. Bertossi, W. Faber, B. Glimm, G. Gottlob, & S. Staab (Eds.), Lecture Notes in Computer Science (Vol. 10370). Springer. https://doi.org/10.1007/978-3-319-61033-7
    6. Louveton, N., Sengupta, K., McCall, R., Frank, R., & Engel, T. (2017). Testing a Commercial BCI Device for In-Vehicle Interfaces Evaluation: A Simulator and Real-World Driving Study. IJMCMC, 8(2), 1–13. http://dblp.uni-trier.de/db/journals/ijmcmc/ijmcmc8.html#LouvetonSMFE17
    7. Peñaloza, R., & Potyka, N. (2017). Towards Statistical Reasoning in Description Logics over Finite Domains. In S. Moral, O. Pivert, D. Sánchez, & N. Mar\’ın (Eds.), International Conference on Scalable Uncertainty Management (SUM) (Vol. 10564, pp. 280–294). Springer. https://doi.org/10.1007/978-3-319-67582-4\_20
    8. Peñaloza, R., & Potyka, N. (2017). Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version). CoRR, abs/1706.03207. http://arxiv.org/abs/1706.03207
    9. Potyka, N., & Thimm, M. (2017). Inconsistency-tolerant reasoning over linear probabilistic knowledge bases. International Journal of Approximate Reasoning, 88, 209–236. https://doi.org/10.1016/j.ijar.2017.06.002
    10. Sengupta, K., Sun, J., Menges, R., Kumar, C., & Staab, S. (2017). Analyzing the Impact of Cognitive Load in Evaluating Gaze-based Typing. 30th IEEE International Symposium on Computer-Based Medical Systems, Special Track on Multimodal Interfaces for Natural Human Computer Interaction: Theory and Applications. https://ieeexplore.ieee.org/abstract/document/8104302
    11. Sengupta, K., Menges, R., Kumar, C., & Staab, S. (2017). GazeTheKey: Interactive Keys to Integrate Word Predictions for Gaze-based Text Entry. In G. A. Papadopoulos, T. Kuflik, F. Chen, C. Duarte, & W.-T. Fu (Eds.), IUI Companion (pp. 121–124). ACM. https://dl.acm.org/doi/abs/10.1145/3030024.3038259
    12. Sengupta, K., Kumar, C., & Staab, S. (2017). Usability Heuristics for Eye-controlled User Interfaces. COGAIN Symposium, Wuppertal, Germany. http://cogain2017.cogain.org/camready/poster3-Sengupta.pdf
  7. 2016

    1. d’Amato, C., Staab, S., Tettamanzi, A., Minh, T., & Gandon, F. (2016). Ontology Enrichment by Discovering Multi-Relational Association Rules from Ontological Knowledge Bases. Proc. of the ACM Int. Symposium on Applied Computing (SAC 2016). http://dx.doi.org/10.1145/2851613.2851842
    2. Gutiérrez, C., Hernández, D., Hogan, A., & Polleres, A. (2016). Certain Answers for SPARQL? In R. Pichler & A. S. da Silva (Eds.), Proceedings of the 10th Alberto Mendelzon International Workshop on Foundations of Data Management, Panama City, Panama, May 8-10, 2016. (Vol. 1644). CEUR-WS.org. http://ceur-ws.org/Vol-1644/paper13.pdf
    3. Hernández, D., Hogan, A., Riveros, C., Rojas, C., & Zerega, E. (2016). Querying Wikidata: Comparing SPARQL, Relational and Graph Databases. In P. T. Groth, E. Simperl, A. J. G. Gray, M. Sabou, M. Krötzsch, F. Lécué, F. Flöck, & Y. Gil (Eds.), The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II (Vol. 9982, pp. 88--103). https://doi.org/10.1007/978-3-319-46547-0_10
    4. Homscheid, D., Schaarschmidt, M., & Staab, S. (2016). Firm-Sponsored Developers in Open Source Software Projects: A Social Capital Perspective. Proceedings of the 24th European Conference on Information Systems (ECIS).
    5. Nejdl, W., Hall, W., Parigi, P., & Staab, S. (Eds.). (2016). Proceedings of the 8th ACM Conference on Web Science, WebSci 2016,                Hannover, Germany, May 22-25, 2016. ACM. https://doi.org/10.1145/2908131
    6. Peñaloza, R., & Potyka, N. (2016). Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy. In S. Schockaert & P. Senellart (Eds.), International Conference on Scalable Uncertainty Management (SUM) (Vol. 9858, pp. 246–259). Springer. https://doi.org/10.1007/978-3-319-45856-4\_17
    7. Peñaloza, R., & Potyka, N. (2016). Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version). CoRR, abs/1606.09521. http://arxiv.org/abs/1606.09521
    8. Potyka, N., Mittermeier, E., & Marenke, D. (2016). An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version). Journal of Applied Logic, 19, 71–86. https://doi.org/10.1016/j.jal.2016.05.003
    9. Potyka, N., Acar, E., Thimm, M., & Stuckenschmidt, H. (2016). Group Decision Making via Probabilistic Belief Merging. In S. Kambhampati (Ed.), International Joint Conference on Artificial Intelligence (IJCAI) (pp. 3623–3629). IJCAI/AAAI Press. http://www.ijcai.org/Abstract/16/510
    10. Potyka, N. (2016). Relationships Between Semantics for Relational Probabilistic Conditional Logics. In C. Beierle, G. Brewka, & M. Thimm (Eds.), Computational Models of Rationality, Essays dedicated to Gabriele Kern-Isberner on the occasion of her 60th birthday (pp. 332–347). College Publications.
    11. Potyka, N. (2016). Solving Reasoning Problems for Probabilistic Conditional Logics with Consistent and Inconsistent Information [FernUniversität in Hagen]. https://nbn-resolving.org/urn:nbn:de:hbz:708-30620
    12. Potyka, N., Gómez-Ramirez, D., & Kühnberger, K.-U. (2016). Towards a Computational Framework for Function-Driven Concept Invention. In B. R. Steunebrink, P. Wang, & B. Goertzel (Eds.), International Conference on Artificial General Intelligence (AGI) (Vol. 9782, pp. 212–222). Springer. https://doi.org/10.1007/978-3-319-41649-6\_21
    13. Scheglmann, S., Leinberger, M., Gottron, T., Staab, S., & Lämmel, R. (2016). SEPAL: Schema Enhanced Programming for Linked Data. KI, 30(2), 189--192. https://doi.org/10.1007/s13218-015-0418-4
    14. Staab, S., Stalla-Bourdillon, S., & Carmichael, L. (2016). Observing and Recommending from a Social Web with Biases. University of Southampton. http://userpages.uni-koblenz.de/~staab/Research/Publications/2016/ProjectReport_WSI_WebBias_v2.2_11032016.pdf
  8. 2015

    1. Beierle, C., Brons, F., & Potyka, N. (2015). A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics. In S. Hölldobler, M. Krötzsch, R. Peñaloza, & S. Rudolph (Eds.), German Conference on Artificial Intelligence (KI) (Vol. 9324, pp. 241–248). Springer. https://doi.org/10.1007/978-3-319-24489-1\_19
    2. Beierle, C., Kern-Isberner, G., Finthammer, M., & Potyka, N. (2015). Extending and Completing Probabilistic Knowledge and Beliefs Without Bias. Künstliche Intelligenz (KI), 29(3), 255–262. https://doi.org/10.1007/s13218-015-0380-1
    3. Beierle, C., Potyka, N., Baudisch, J., & Finthammer, M. (2015). Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases. In S. Destercke & T. Denoeux (Eds.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) (Vol. 9161, pp. 506--516). Springer. https://doi.org/10.1007/978-3-319-20807-7\_46
    4. Hernández, D., & Gutiérrez, C. (2015). Disentangling the Notion of Dataset in SPARQL. In A. Cali & M.-E. Vidal (Eds.), Proceedings of the 9th Alberto Mendelzon International Workshop on Foundations of Data Management, Lima, Peru, May 6 - 8, 2015. (Vol. 1378). CEUR-WS.org. http://ceur-ws.org/Vol-1378/AMW_2015_paper_41.pdf
    5. Hernández, D., Hogan, A., & Krötzsch, M. (2015). Reifying RDF: What Works Well With Wikidata? In T. Liebig & A. Fokoue (Eds.), Proceedings of the 11th International Workshop on Scalable Semantic Web Knowledge Base Systems co-located with 14th International Semantic              Web Conference (ISWC 2015), Bethlehem, PA, USA, October 11, 2015. (Vol. 1457, pp. 32--47). CEUR-WS.org. http://ceur-ws.org/Vol-1457/SSWS2015_paper3.pdf
    6. Kling, C. C., Kunegis, J., Hartmann, H., Strohmaier, M., & Staab, S. (2015). Voting Behaviour and Power in Online Democracy: A                  Study of LiquidFeedback in Germany’s Pirate Party. Proc. Int. Conf. on Weblogs and Social Media. http://arxiv.org/abs/1503.07723
    7. Perl, J., Wagner, C., Kunegis, J., & Staab, S. (2015). Twitter as a Political Network -- Predicting the Following and    Unfollowing Behavior of German Politicians. Proc. Web Science Conf.
    8. Potyka, N., Beierle, C., & Kern-Isberner, G. (2015). A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics. Journal of Applied Logic, 13(4), 414–440. https://doi.org/10.1016/j.jal.2015.01.001
    9. Potyka, N., & Thimm, M. (2015). Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures. In Q. Yang & M. J. Wooldridge (Eds.), International Joint Conference on Artificial Intelligence (IJCAI) (pp. 3156–3163). AAAI Press. http://ijcai.org/Abstract/15/445
    10. Potyka, N. (2015). Reasoning over Linear Probabilistic Knowledge Bases with Priorities. In C. Beierle & A. Dekhtyar (Eds.), International Conference on Scalable Uncertainty Management (SUM) (Vol. 9310, pp. 121–136). Springer. https://doi.org/10.1007/978-3-319-23540-0\_9
    11. Vogel, I. C., Milde, J., Stengel, K., Staab, S., Kling, C. C., & Kunegis, J. (2015). Glaubwürdigkeit und Vertrauen von Online-News. Datenschutz Und Datensicherheit, 40(5), 1--5.
  9. 2014

    1. Gottron, T., & Staab, S. (2014). Linked Open Data. In Encyclopedia of Social Network Analysis and Mining (pp. 811--813). https://doi.org/10.1007/978-1-4614-6170-8_111
    2. Gottron, T., & Staab, S. (2014). RDF. In Encyclopedia of Social Network Analysis and Mining (pp. 1497--1498). https://doi.org/10.1007/978-1-4614-6170-8_114
    3. Kleinen, A., Scherp, A., & Staab, S. (2014). Interactive faceted search and exploration of open social media data                on a touchscreen mobile phone. Multimedia Tools Appl., 71(1), 39--60. https://doi.org/10.1007/s11042-013-1366-3
    4. Kling, C. C., Kunegis, J., Sizov, S., & Staab, S. (2014). Detecting non-gaussian geographical topics in tagged photo collections. Seventh ACM International Conference on Web Search and Data Mining,                WSDM 2014, New York, NY, USA, February 24-28, 2014, 603--612. https://doi.org/10.1145/2556195.2556218
    5. Leinberger, M., Scheglmann, S., Lämmel, R., Staab, S., Thimm, M., & Viegas, E. (2014). Semantic Web Application Development with LITEQ. The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference,                Riva Del Garda, Italy, October 19-23, 2014. Proceedings, Part II, 212--227. https://doi.org/10.1007/978-3-319-11915-1_14
    6. Pickhardt, R., Gottron, T., Körner, M., Wagner, P. G., Speicher, T., & Staab, S. (2014). A Generalized Language Model as the Combination of Skipped n-grams                and Modified Kneser Ney Smoothing. Proceedings of the 52nd Annual Meeting of the Association for Computational              Linguistics, ACL 2014, June 22-27, 2014, Baltimore, MD, USA, Volume              1: Long Papers, 1145--1154. http://aclweb.org/anthology/P/P14/P14-1108.pdf
    7. Potyka, N., & Thimm, M. (2014). Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization. In T. Schaub, G. Friedrich, & B. O’Sullivan (Eds.), European Conference on Artificial Intelligence (ECAI) (Vol. 263, pp. 729–734). IOS Press. https://doi.org/10.3233/978-1-61499-419-0-729
    8. Potyka, N. (2014). Linear Programs for Measuring Inconsistency in Probabilistic Logics. In C. Baral, G. D. Giacomo, & T. Eiter (Eds.), International Conference on Principles of Knowledge Representation and Reasoning (KR). AAAI Press. http://www.aaai.org/ocs/index.php/KR/KR14/paper/view/7963
    9. The Semantic Web: Trends and Challenges - 11th International Conference,                ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014. Proceedings. (2014). In V. Presutti, C. d’Amato, F. Gandon, M. d’Aquin, S. Staab, & A. Tordai (Eds.), Lecture Notes in Computer Science (Vol. 8465). Springer. https://doi.org/10.1007/978-3-319-07443-6
    10. Scheglmann, S., Lämmel, R., Leinberger, M., Staab, S., Thimm, M., & Viegas, E. (2014). IDE Integrated RDF Exploration, Access and RDF-Based Code Typing                with LITEQ. The Semantic Web: ESWC 2014 Satellite Events - ESWC 2014 Satellite              Events, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected              Papers, 505--510. https://doi.org/10.1007/978-3-319-11955-7_75
    11. Scheglmann, S., Leinberger, M., Lämmel, R., Staab, S., & Thimm, M. (2014). Property-based typing with LITEQ. Proceedings of the ISWC 2014 Posters & Demonstrations Track a                Track within the 13th International Semantic Web Conference, ISWC              2014, Riva Del Garda, Italy, October 21, 2014., 149--152. http://ceur-ws.org/Vol-1272/paper_118.pdf
    12. Staab, S., Scheglmann, S., Leinberger, M., & Gottron, T. (2014). Programming the Semantic Web. The Semantic Web: Trends and Challenges - 11th International Conference,                ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014. Proceedings, 1--5. https://doi.org/10.1007/978-3-319-07443-6_1
    13. Walber, T., Scherp, A., & Staab, S. (2014). Benefiting from users’ gaze: selection of image regions from eye tracking                information for provided tags. Multimedia Tools Appl., 71(1), 363--390. https://doi.org/10.1007/s11042-013-1390-3
    14. Walber, T., Scherp, A., & Staab, S. (2014). Exploitation of Gaze Data for Photo Region Labeling in an Immersive                Environment. MultiMedia Modeling - 20th Anniversary International Conference, MMM              2014, Dublin, Ireland, January 6-10, 2014, Proceedings, Part I, 424--435. https://doi.org/10.1007/978-3-319-04114-8_36
    15. Walber, T. C., Scherp, A., & Staab, S. (2014). Smart photo selection: interpret gaze as personal interest. CHI Conference on Human Factors in Computing Systems, CHI’14, Toronto,                ON, Canada - April 26 - May 01, 2014, 2065--2074. https://doi.org/10.1145/2556288.2557025
    16. Walter, T., Parreiras, F. S., & Staab, S. (2014). An ontology-based framework for domain-specific modeling. Software and System Modeling, 13(1), 83--108. https://doi.org/10.1007/s10270-012-0249-9
    17. Äspandi-Latif, D., "Goldin, S., & Sumaryono. (2014). Texture Based Classification Of High Resolution Remotely Sensed Imagery Using Weber Local Descriptor. Asia GIS 2014 International Conference, 10. http://www.asiagis.org/
  10. 2013

    1. Beierle, C., Finthammer, M., Potyka, N., Varghese, J., & Kern-Isberner, G. (2013). A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery. In L. C. van der Gaag (Ed.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) (Vol. 7958, pp. 49–60). Springer. https://doi.org/10.1007/978-3-642-39091-3\_5
    2. Naveed, N., Gottron, T., & Staab, S. (2013). Feature Sentiment Diversification of User Generated Reviews: The FREuD                Approach. Proceedings of the Seventh International Conference on Weblogs and                Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11,                2013. http://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/view/6064
    3. Potyka, N., Beierle, C., & Kern-Isberner, G. (2013). Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics. In I. J. Timm & M. Thimm (Eds.), German Conference on Artificial Intelligence (KI) (Vol. 8077, pp. 176–187). Springer. https://doi.org/10.1007/978-3-642-40942-4\_16
    4. Potyka, N., Beierle, C., & Kern-Isberner, G. (2013). On the Problem of Reversing Relational Inductive Knowledge Representation. In L. C. van der Gaag (Ed.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU) (Vol. 7958, pp. 485–496). Springer. https://doi.org/10.1007/978-3-642-39091-3\_41
    5. Potyka, N. (2013). Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics. In C. Boonthum-Denecke & G. M. Youngblood (Eds.), Florida Artificial Intelligence Research Society Conference (FLAIRS). AAAI Press. http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS13/paper/view/5910
    6. Preusse, J., Kunegis, J., Thimm, M., Staab, S., & Gottron, T. (2013). Structural Dynamics of Knowledge Networks. Proceedings of the Seventh International Conference on Weblogs and                Social Media, ICWSM 2013, Cambridge, Massachusetts, USA, July 8-11,                2013. http://www.aaai.org/ocs/index.php/ICWSM/ICWSM13/paper/view/6076
    7. Ren, Y., Gröner, G., Lemcke, J., Rahmani, T., Friesen, A., Zhao, Y., Pan, J. Z., & Staab, S. (2013). Process Refinement Validation and Explanation with Ontology Reasoning. Service-Oriented Computing - 11th International Conference, ICSOC              2013, Berlin, Germany, December 2-5, 2013, Proceedings, 515--523. https://doi.org/10.1007/978-3-642-45005-1_41
    8. Scheglmann, S., Gröner, G., Staab, S., & Lämmel, R. (2013). Incompleteness-aware programming with RDF data. Proceedings of the 2013 Workshop on Data Driven Functional Programming,                DDFP 2013, Rome, Italy, January 22, 2013, 11--14. https://doi.org/10.1145/2429376.2429380
    9. Scheglmann, S., Staab, S., Thimm, M., & Gröner, G. (2013). Locking for Concurrent Transactions on Ontologies. The Semantic Web: Semantics and Big Data, 10th International Conference,                ESWC 2013, Montpellier, France, May 26-30, 2013. Proceedings, 94--108. https://doi.org/10.1007/978-3-642-38288-8_7
    10. Sheth, A. P., Barnaghi, P. M., Strohmaier, M., Jain, R., & Staab, S. (2013). Physical-Cyber-Social Computing (Dagstuhl Reports 13402). Dagstuhl Reports, 3(9), 245--263. https://doi.org/10.4230/DagRep.3.9.245
    11. Staab, S. (2013). Web Science. Informatik Spektrum, 36(6), 548--551. https://doi.org/10.1007/s00287-013-0740-x
    12. Varghese, J., Beierle, C., Potyka, N., & Kern-Isberner, G. (2013). Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data. In P. P. Rodrigues, M. Pechenizkiy, J. Gama, R. Cruz-Correia, J. Liu, A. J. M. Traina, P. J. F. Lucas, & P. Soda (Eds.), IEEE International Symposium on Computer-Based Medical Systems (CBMS) (pp. 401–404). IEEE Computer Society. https://doi.org/10.1109/CBMS.2013.6627826
    13. Walber, T., Scherp, A., & Staab, S. (2013). Can You See It? Two Novel Eye-Tracking-Based Measures for Assigning                Tags to Image Regions. Advances in Multimedia Modeling, 19th International Conference, MMM              2013, Huangshan, China, January 7-9, 2013, Proceedings, Part I, 36--46. https://doi.org/10.1007/978-3-642-35725-1_4
    14. Walber, T., Neuhaus, C., Staab, S., Scherp, A., & Jain, R. (2013). Creation of individual photo selections: read preferences from the                users’ eyes. ACM Multimedia Conference, MM ’13, Barcelona, Spain, October 21-25,                2013, 629--632. https://doi.org/10.1145/2502081.2502165
  11. 2012

    1. Dellschaft, K., & Staab, S. (2012). Measuring the influence of tag recommenders on the indexing quality                in tagging systems. 23rd ACM Conference on Hypertext and Social Media, HT ’12, Milwaukee,                WI, USA, June 25-28, 2012, 73--82. https://doi.org/10.1145/2309996.2310009
    2. Görlitz, O., Thimm, M., & Staab, S. (2012). SPLODGE: Systematic Generation of SPARQL Benchmark Queries for                Linked Open Data. The Semantic Web - ISWC 2012 - 11th International Semantic Web Conference,                Boston, MA, USA, November 11-15, 2012, Proceedings, Part I, 116--132. https://doi.org/10.1007/978-3-642-35176-1_8
    3. Konrath, M., Gottron, T., Staab, S., & Scherp, A. (2012). SchemEX - Efficient construction of a data catalogue by stream-based                indexing of linked data. J. Web Sem., 16, 52--58. https://doi.org/10.1016/j.websem.2012.06.002
    4. Mille, A., Gandon, F. L., Misselis, J., Rabinovich, M., & Staab, S. (Eds.). (2012). Proceedings of the 21st World Wide Web Conference 2012, WWW 2012,                Lyon, France, April 16-20, 2012. ACM. http://dl.acm.org/citation.cfm?id=2187836
    5. Mille, A., Gandon, F. L., Misselis, J., Rabinovich, M., & Staab, S. (Eds.). (2012). Proceedings of the 21st World Wide Web Conference, WWW 2012, Lyon,                France, April 16-20, 2012 (Companion Volume). ACM. http://dl.acm.org/citation.cfm?id=2187980
    6. Pickhardt, R., Gottron, T., Scherp, A., Staab, S., & Kunze, J. (2012). Efficient Graph Models for Retrieving Top-k News Feeds from Ego Networks. 2012 International Conference on Privacy, Security, Risk and Trust,                PASSAT 2012, and 2012 International Confernece on Social Computing,                SocialCom 2012, Amsterdam, Netherlands, September 3-5, 2012, 123--133. https://doi.org/10.1109/SocialCom-PASSAT.2012.73
    7. Potyka, N., & Beierle, C. (2012). An Approach to Learning Relational Probabilistic FO-PCL Knowledge Bases. In E. Hüllermeier, S. Link, T. Fober, & B. Seeger (Eds.), International Conference on Scalable Uncertainty Management (SUM) (Vol. 7520, pp. 625–632). Springer. https://doi.org/10.1007/978-3-642-33362-0\_52
    8. Potyka, N. (2012). Towards a General Framework for Maximum Entropy Reasoning. In G. M. Youngblood & P. M. McCarthy (Eds.), Florida Artificial Intelligence Research Society Conference (FLAIRS). AAAI Press. http://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS12/paper/view/4379
    9. Scheglmann, S., Scherp, A., & Staab, S. (2012). Declarative Representation of Programming Access to Ontologies. The Semantic Web: Research and Applications - 9th Extended Semantic              Web Conference, ESWC 2012, Heraklion, Crete, Greece, May 27-31,                2012. Proceedings, 659--673. https://doi.org/10.1007/978-3-642-30284-8_51
    10. Scherp, A., Franz, T., Saathoff, C., & Staab, S. (2012). A core ontology on events for representing occurrences in the real                world. Multimedia Tools Appl., 58(2), 293--331. https://doi.org/10.1007/s11042-010-0667-z
    11. Staab, S. (2012). How to do things with triples. 23rd ACM Conference on Hypertext and Social Media, HT ’12, Milwaukee,                WI, USA, June 25-28, 2012, 1--2. https://doi.org/10.1145/2309996.2309998
    12. Staab, S. (2012). Managing Online Business Communities. ICEIS 2012 - Proceedings of the 14th International Conference on                Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June              - 1 July, 2012.
    13. Walber, T., Scherp, A., & Staab, S. (2012). Identifying Objects in Images from Analyzing the Users’ Gaze Movements                for Provided Tags. Advances in Multimedia Modeling - 18th International Conference, MMM              2012, Klagenfurt, Austria, January 4-6, 2012. Proceedings, 138--148. https://doi.org/10.1007/978-3-642-27355-1_15
  12. 2011

    1. Bloehdorn, S., Blohm, S., Cimiano, P., Giesbrecht, E., Hotho, A., Lösch, U., Mädche, A., Mönch, E., Sorg, P., Staab, S., & Völker, J. (2011). Combining Data-Driven and Semantic Approaches for Text Mining. Foundations for the Web of Information and Services - A Review of                20 Years of Semantic Web Research., 115--142. https://doi.org/10.1007/978-3-642-19797-0_7
    2. Cimiano, P., Hotho, A., & Staab, S. (2011). Learning Concept Hierarchies from Text Corpora using Formal Concept                Analysis. CoRR, abs/1109.2140. http://arxiv.org/abs/1109.2140
    3. Gröner, G., Parreiras, F. S., Staab, S., & Walter, T. (2011). Software Modeling Using Ontology Technologies. Foundations for the Web of Information and Services - A Review of                20 Years of Semantic Web Research., 193--213. https://doi.org/10.1007/978-3-642-19797-0_11
    4. Gröner, G., Wende, C., Boskovic, M., Parreiras, F. S., Walter, T., Heidenreich, F., Gasevic, D., & Staab, S. (2011). Validation of Families of Business Processes. Advanced Information Systems Engineering - 23rd International Conference,                CAiSE 2011, London, UK, June 20-24, 2011. Proceedings, 551--565. https://doi.org/10.1007/978-3-642-21640-4_41
    5. Görlitz, O., & Staab, S. (2011). Federated Data Management and Query Optimization for Linked Open Data. In New Directions in Web Data Management 1 (pp. 109--137). https://doi.org/10.1007/978-3-642-17551-0_5
    6. Görlitz, O., & Staab, S. (2011). SPLENDID: SPARQL Endpoint Federation Exploiting VOID Descriptions. Proceedings of the Second International Workshop on Consuming Linked              Data (COLD2011), Bonn, Germany, October 23, 2011. http://ceur-ws.org/Vol-782/GoerlitzAndStaab_COLD2011.pdf
    7. Janik, M., Scherp, A., & Staab, S. (2011). The Semantic Web: Collective Intelligence on the Web. Informatik Spektrum, 34(5), 469--483. https://doi.org/10.1007/s00287-011-0535-x
    8. Software Language Engineering - Third International Conference, SLE                2010, Eindhoven, The Netherlands, October 12-13, 2010, Revised Selected                Papers. (2011). In B. A. Malloy, S. Staab, & M. van den Brand (Eds.), Lecture Notes in Computer Science (Vol. 6563). Springer. https://doi.org/10.1007/978-3-642-19440-5
    9. Naveed, N., Sizov, S., & Staab, S. (2011). ATT: analyzing temporal dynamics of topics and authors in social                media. Web Science 2011, WebSci ’11, Koblenz, Germany - June 15 - 17, 2011, 1. https://doi.org/10.1145/2527031.2527033
    10. Naveed, N., Sizov, S., & Staab, S. (2011). ATTention: Understanding Authors and Topics in Context of Temporal                Evolution. Advances in Information Retrieval - 33rd European Conference on IR              Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings, 733--737. https://doi.org/10.1007/978-3-642-20161-5_82
    11. Oro, E., Ruffolo, M., & Staab, S. (2011). SXPath: a Spatial Extension of XPath. Sistemi Evoluti per Basi Di Dati - SEBD 2011, Proceedings of the                Nineteenth Italian Symposium on Advanced Database Systems, Maratea,                Italy, June 26-29, 2011, 267--274.
    12. Ringelstein, C., & Staab, S. (2011). Papel: Provenance-Aware Policy Definition and Execution. IEEE Internet Computing, 15(1), 49--58. https://doi.org/10.1109/MIC.2010.128
    13. Scheglmann, S., Saathoff, C., & Staab, S. (2011). On the Problem of Weighted Max-DL-SAT and its Application to Image                Labeling. Proceedings of the 24th International Workshop on Description Logics              (DL 2011), Barcelona, Spain, July 13-16, 2011. http://ceur-ws.org/Vol-745/paper_24.pdf
    14. Schenk, S., Dividino, R. Q., & Staab, S. (2011). Using provenance to debug changing ontologies. J. Web Sem., 9(3), 284--298. https://doi.org/10.1016/j.websem.2011.06.009
    15. Scherp, A., Saathoff, C., Franz, T., & Staab, S. (2011). Designing core ontologies. Applied Ontology, 6(3), 177--221. https://doi.org/10.3233/AO-2011-0096
    16. Scherp, A., Eißing, D., & Staab, S. (2011). strukt - A Pattern System for Integrating Individual and Organizational                Knowledge Work. The Semantic Web - ISWC 2011 - 10th International Semantic Web Conference,                Bonn, Germany, October 23-27, 2011, Proceedings, Part I, 569--584. https://doi.org/10.1007/978-3-642-25073-6_36
    17. Schwagereit, F., Scherp, A., & Staab, S. (2011). Survey on governance of user-generated content in web communities. Web Science 2011, WebSci ’11, Koblenz, Germany - June 15 - 17, 2011, 13. https://doi.org/10.1145/2527031.2527037
    18. Staab, S. (2011). Ontologies and Similarity. Case-Based Reasoning Research and Development - 19th International              Conference on Case-Based Reasoning, ICCBR 2011, London, UK, September              12-15, 2011. Proceedings, 11--16. https://doi.org/10.1007/978-3-642-23291-6_3
    19. White, S., Croitoru, M., Bazan, S. B., Cerri, S. A., Davis, H. C., Folgieri, R., Jonquet, C., Scharffe, F., Staab, S., Tiropanis, T., & Vafopoulos, M. (2011). Negotiating the web science curriculum through shared educational                artefacts. Web Science 2011, WebSci ’11, Koblenz, Germany - June 15 - 17, 2011, 11. https://doi.org/10.1145/2527031.2527046
  13. 2010

    1. Auer, S., Müller-Birn, C., & Staab, S. (2010). Workshop Web Science (WSW 2010) -Social Computing Applications-                (Vorwort). Informatik 2010: Service Science - Neue Perspektiven Für Die              Informatik, Beiträge Der 40. Jahrestagung Der Gesellschaft Für              Informatik e.V. (GI), Band 2, 27.09. - 1.10.2010, Leipzig, 433--434. http://subs.emis.de/LNI/Proceedings/Proceedings176/article6043.html
    2. Braun, M., Scherp, A., & Staab, S. (2010). Collaborative Semantic Points of Interests. The Semantic Web: Research and Applications, 7th Extended Semantic              Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 - June              3, 2010, Proceedings, Part II, 365--369. https://doi.org/10.1007/978-3-642-13489-0_25
    3. d’Amato, C., Staab, S., Fanizzi, N., & Esposito, F. (2010). Dl-Link: a Conceptual Clustering Algorithm for Indexing Description                Logics Knowledge Bases. Int. J. Semantic Computing, 4(4), 453--486. https://doi.org/10.1142/S1793351X10001085
    4. d’Amato, C., Staab, S., Fanizzi, N., & Esposito, F. (2010). Efficient Resource Retrieval from Semantic Knowledge Bases. Proceedings of the 4th IEEE International Conference on Semantic              Computing (ICSC 2010), September 22-24, 2010, Carnegie Mellon University,                Pittsburgh, PA, USA, 244--251. https://doi.org/10.1109/ICSC.2010.18
    5. Franz, T., Koch, J., Dividino, R. Q., & Staab, S. (2010). LENA-TR : Browsing Linked Open Data Along Knowledge-Aspects. Linked Data Meets Artificial Intelligence, Papers from the 2010 AAAI              Spring Symposium, Technical Report SS-10-07, Stanford, California,                USA, March 22-24, 2010. http://www.aaai.org/ocs/index.php/SSS/SSS10/paper/view/1040
    6. Franz, T., & Staab, S. (2010). Ranking und Clustering Linked Data. Datenbank-Spektrum, 10(2), 67--72. https://doi.org/10.1007/s13222-010-0016-4
    7. Gröner, G., Parreiras, F. S., & Staab, S. (2010). Semantic Recognition of Ontology Refactoring. The Semantic Web - ISWC 2010 - 9th International Semantic Web Conference,                ISWC 2010, Shanghai, China, November 7-11, 2010, Revised Selected              Papers, Part I, 273--288. https://doi.org/10.1007/978-3-642-17746-0_18
    8. Gröner, G., & Staab, S. (2010). Specialization and Validation of Statecharts in OWL. Knowledge Engineering and Management by the Masses - 17th International              Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010. Proceedings, 360--370. https://doi.org/10.1007/978-3-642-16438-5_26
    9. Mir, S., Staab, S., & Rojas, I. (2010). An Unsupervised Approach for Acquiring Ontologies and RDF Data from                Online Life Science Databases. The Semantic Web: Research and Applications, 7th Extended Semantic              Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 - June              3, 2010, Proceedings, Part II, 319--333. https://doi.org/10.1007/978-3-642-13489-0_22
    10. Oro, E., Ruffolo, M., & Staab, S. (2010). SXPath - Extending XPath towards Spatial Querying on Web Documents. PVLDB, 4(2), 129--140. http://www.vldb.org/pvldb/vol4/p129-oro.pdf
    11. Parreiras, F. S., Gröner, G., Walter, T., & Staab, S. (2010). A Model-Driven Approach for Using Templates in OWL Ontologies. Knowledge Engineering and Management by the Masses - 17th International              Conference, EKAW 2010, Lisbon, Portugal, October 11-15, 2010. Proceedings, 350--359. https://doi.org/10.1007/978-3-642-16438-5_25
    12. Parreiras, F. S., & Staab, S. (2010). Using ontologies with UML class-based modeling: The TwoUse approach. Data Knowl. Eng., 69(11), 1194--1207. https://doi.org/10.1016/j.datak.2010.07.009
    13. Ringelstein, C., & Staab, S. (2010). DiALog: A Distributed Model for Capturing Provenance and Auditing                Information. Int. J. Web Service Res., 7(2), 1--20. https://doi.org/10.4018/jwsr.2010040101
    14. Ringelstein, C., & Staab, S. (2010). PAPEL: A Language and Model for Provenance-Aware Policy Definition                and Execution. Business Process Management - 8th International Conference, BPM              2010, Hoboken, NJ, USA, September 13-16, 2010. Proceedings, 195--210. https://doi.org/10.1007/978-3-642-15618-2_15
    15. Schmeiß, D., Scherp, A., & Staab, S. (2010). Integrated mobile visualization and interaction of events and POIs. Proceedings of the 18th International Conference on Multimedia 2010,                Firenze, Italy, October 25-29, 2010, 1567--1570. https://doi.org/10.1145/1873951.1874288
    16. Schwagereit, F., Scherp, A., & Staab, S. (2010). Representing Distributed Groups with \(_\emphd\)\(_\emphg\)FOAF. The Semantic Web: Research and Applications, 7th Extended Semantic              Web Conference, ESWC 2010, Heraklion, Crete, Greece, May 30 - June              3, 2010, Proceedings, Part II, 181--195. https://doi.org/10.1007/978-3-642-13489-0_13
    17. Sizov, S., Staab, S., & Franz, T. (2010). Analysis of Social Networks by Tensor Decomposition. In Handbook of Social Network Technologies and Applications (pp. 45--58). https://doi.org/10.1007/978-1-4419-7142-5_3
    18. Staab, S., Walter, T., Gröner, G., & Parreiras, F. S. (2010). Model Driven Engineering with Ontology Technologies. Reasoning Web. Semantic Technologies for Software Engineering, 6th              International Summer School 2010, Dresden, Germany, August 30 - September              3, 2010. Tutorial Lectures, 62--98. https://doi.org/10.1007/978-3-642-15543-7_3
    19. Walter, T., Parreiras, F. S., Staab, S., & Ebert, J. (2010). Joint Language and Domain Engineering. Modelling Foundations and Applications, 6th European Conference, ECMFA              2010, Paris, France, June 15-18, 2010. Proceedings, 321--336. https://doi.org/10.1007/978-3-642-13595-8_25
  14. 2009

    1. Abbasi, R., Chernov, S., Nejdl, W., Paiu, R., & Staab, S. (2009). Exploiting Flickr Tags and Groups for Finding Landmark Photos. Advances in Information Retrieval, 31th European Conference on IR              Research, ECIR 2009, Toulouse, France, April 6-9, 2009. Proceedings, 654--661. https://doi.org/10.1007/978-3-642-00958-7_62
    2. Abbasi, R., Grzegorzek, M., & Staab, S. (2009). Large Scale Tag Recommendation Using Different Image Representations. Semantic Multimedia, 4th International Conference on Semantic and                Digital Media Technologies, SAMT 2009, Graz, Austria, December 2-4,                2009, Proceedings, 65--76. https://doi.org/10.1007/978-3-642-10543-2_8
    3. Abbasi, R., & Staab, S. (2009). RichVSM: enRiched vector space models for folksonomies. HYPERTEXT 2009, Proceedings of the 20th ACM Conference on Hypertext              and Hypermedia, Torino, Italy, June 29 - July 1, 2009, 219--228. https://doi.org/10.1145/1557914.1557952
    4. Cimiano, P., Schultz, A., Sizov, S., Sorg, P., & Staab, S. (2009). Explicit Versus Latent Concept Models for Cross-Language Information                Retrieval. IJCAI 2009, Proceedings of the 21st International Joint Conference              on Artificial Intelligence, Pasadena, California, USA, July 11-17,                2009, 1513--1518. http://ijcai.org/papers09/Papers/IJCAI09-253.pdf
    5. Dividino, R. Q., Schenk, S., Sizov, S., & Staab, S. (2009). Provenance, Trust, Explanations - and all that other Meta Knowledge. KI, 23(2), 24--30. http://www.kuenstliche-intelligenz.de/fileadmin/template/main/archiv/pdf/ki2009-02_page24_web_teaser.pdf
    6. Dividino, R. Q., Sizov, S., Staab, S., & Schueler, B. (2009). Querying for provenance, trust, uncertainty and other meta knowledge                in RDF. J. Web Sem., 7(3), 204--219. https://doi.org/10.1016/j.websem.2009.07.004
    7. Franz, T., Scherp, A., & Staab, S. (2009). Are semantic desktops better?: summative evaluation comparing a semantic                against a conventional desktop. Proceedings of the 5th International Conference on Knowledge Capture              (K-CAP 2009), September 1-4, 2009, Redondo Beach, California, USA, 1--8. https://doi.org/10.1145/1597735.1597737
    8. Franz, T., Schultz, A., Sizov, S., & Staab, S. (2009). TripleRank: Ranking Semantic Web Data by Tensor Decomposition. The Semantic Web - ISWC 2009, 8th International Semantic Web Conference,                ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings, 213--228. https://doi.org/10.1007/978-3-642-04930-9_14
    9. Gröner, G., & Staab, S. (2009). Modeling and query pattern for process retrieval in OWL. Proceedings of the 5th International Conference on Knowledge Capture              (K-CAP 2009), September 1-4, 2009, Redondo Beach, California, USA, 189--190. https://doi.org/10.1145/1597735.1597776
    10. Gröner, G., & Staab, S. (2009). Modeling and Query Patterns for Process Retrieval in OWL. The Semantic Web - ISWC 2009, 8th International Semantic Web Conference,                ISWC 2009, Chantilly, VA, USA, October 25-29, 2009. Proceedings, 243--259. https://doi.org/10.1007/978-3-642-04930-9_16
    11. Mir, S., Staab, S., & Rojas, I. (2009). Site-Wide Wrapper Induction for Life Science Deep Web Databases. Data Integration in the Life Sciences, 6th International Workshop,                DILS 2009, Manchester, UK, July 20-22, 2009. Proceedings, 96--112. https://doi.org/10.1007/978-3-642-02879-3_9
    12. Mir, S., Staab, S., & Rojas, I. (2009). Web-Prospector - An Automatic, Site-Wide Wrapper Induction Approach                for Scientific Deep-Web Databases. Datenbanksysteme in Business, Technologie Und Web (BTW 2009), 13.                Fachtagung Des GI-Fachbereichs “Datenbanken Und Informationssysteme”                (DBIS), Proceedings, 2.-6. März 2009, Münster, Germany, 87--106. http://subs.emis.de/LNI/Proceedings/Proceedings144/article5236.html
    13. Papadopoulos, G. Th., Saathoff, C., Grzegorzek, M., Mezaris, V., Kompatsiaris, I., Staab, S., & Strintzis, M. G. (2009). Comparative evaluation of spatial context techniques for semantic                image analysis. 10th Workshop on Image Analysis for Multimedia Interactive Services,                WIAMIS 2009, London, United Kingdom, May 6-8, 2009, 161--164. https://doi.org/10.1109/WIAMIS.2009.5031457
    14. Parreiras, F. S., Saathoff, C., Walter, T., Franz, T., & Staab, S. (2009). APIs à gogo: Automatic Generation of Ontology APIs. Proceedings of the 3rd IEEE International Conference on Semantic              Computing (ICSC 2009), 14-16 September 2009, Berkeley, CA, USA, 342--348. https://doi.org/10.1109/ICSC.2009.90
    15. Ren, Y., Gröner, G., Lemcke, J., Rahmani, T., Friesen, A., Zhao, Y., Pan, J. Z., & Staab, S. (2009). Validating Process Refinement with Ontologies. Proceedings of the 22nd International Workshop on Description Logics              (DL 2009), Oxford, UK, July 27-30, 2009. http://ceur-ws.org/Vol-477/paper_59.pdf
    16. Ringelstein, C., & Staab, S. (2009). DIALOG: Distributed Auditing Logs. IEEE International Conference on Web Services, ICWS 2009, Los              Angeles, CA, USA, 6-10 July 2009, 429--436. https://doi.org/10.1109/ICWS.2009.50
    17. Schenk, S., Dividino, R. Q., & Staab, S. (2009). Reasoning With Provenance, Trust and all that other Meta Knowlege                in OWL. Proceedings of the First International Workshop on the Role of Semantic              Web in Provenance Management (SWPM 2009), Collocated with the 8th              International Semantic Web Conference (ISWC-2009), Washington DC,                USA, October 25, 2009. http://ceur-ws.org/Vol-526/paper_3.pdf
    18. Schenk, S., Saathoff, C., Staab, S., & Scherp, A. (2009). SemaPlorer - Interactive semantic exploration of data and media based                on a federated cloud infrastructure. J. Web Sem., 7(4), 298--304. https://doi.org/10.1016/j.websem.2009.09.006
    19. Scherp, A., Franz, T., Saathoff, C., & Staab, S. (2009). F--a model of events based on the foundational ontology dolce+DnS                ultralight. Proceedings of the 5th International Conference on Knowledge Capture              (K-CAP 2009), September 1-4, 2009, Redondo Beach, California, USA, 137--144. https://doi.org/10.1145/1597735.1597760
    20. Scherp, A., Schenk, S., Saathoff, C., & Staab, S. (2009). Interaktive Exploration und Visualisierung von semantischem Wissen                mit SemaPlorer (Interactive Exploration and Visualization of Semantic                Knowledge with SemaPlorer). I-Com, 8(3), 40--46. https://doi.org/10.1524/icom.2009.0035
    21. Schwagereit, F., & Staab, S. (2009). Social Networks. In Encyclopedia of Database Systems (pp. 2667--2672). https://doi.org/10.1007/978-0-387-39940-9_1226
    22. Staab, S. (2009). Networked Ontologies. KDIR 2009 - Proceedings of the International Conference on Knowledge              Discovery and Information Retrieval, Funchal - Madeira, Portugal,                October 6-8, 2009, 13.
    23. Staab, S. (2009). Structuring and Accessing Semantic Multimedia Data. Advances in Multimedia Modeling, 15th International Multimedia Modeling              Conference, MMM 2009, Sophia-Antipolis, France, January 7-9, 2009.                Proceedings, 2. https://doi.org/10.1007/978-3-540-92892-8_2
    24. Walter, T., Parreiras, F. S., & Staab, S. (2009). OntoDSL: An Ontology-Based Framework for Domain-Specific Languages. Model Driven Engineering Languages and Systems, 12th International              Conference, MODELS 2009, Denver, CO, USA, October 4-9, 2009. Proceedings, 408--422. https://doi.org/10.1007/978-3-642-04425-0_32
  15. 2008

    1. Avrithis, Y. S., O’Connor, N. E., Staab, S., & Troncy, R. (2008). Introduction to the special issue on “Semantic Multimedia.” J. Web Sem., 6(2), 137--138. https://doi.org/10.1016/j.websem.2008.02.004
    2. Bradshaw, J. M., Lieberman, H., & Staab, S. (Eds.). (2008). Proceedings of the 2008 International Conference on Intelligent User                Interfaces, January 13-16, 2008, Gran Canaria, Canary Islands, Spain. ACM.
    3. d’Amato, C., Staab, S., & Fanizzi, N. (2008). On the Influence of Description Logics Ontologies on Conceptual Similarity. Knowledge Engineering: Practice and Patterns, 16th International Conference,                EKAW 2008, Acitrezza, Italy, September 29 - October 2, 2008. Proceedings, 48--63. https://doi.org/10.1007/978-3-540-87696-0_7
    4. Dellschaft, K., & Staab, S. (2008). An epistemic dynamic model for tagging systems. HYPERTEXT 2008, Proceedings of the 19th ACM Conference on Hypertext              and Hypermedia, Pittsburgh, PA, USA, June 19-21, 2008, 71--80. https://doi.org/10.1145/1379092.1379109
    5. Dellschaft, K., Engelbrecht, H., Barreto, J. M., Rutenbeck, S., & Staab, S. (2008). Cicero: Tracking Design Rationale in Collaborative Ontology Engineering. The Semantic Web: Research and Applications, 5th European Semantic              Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June              1-5, 2008, Proceedings, 782--786. https://doi.org/10.1007/978-3-540-68234-9_58
    6. Semantic Multimedia, Third International Conference on Semantic and                Digital Media Technologies, SAMT 2008, Koblenz, Germany, December                3-5, 2008. Proceedings. (2008). In D. J. Duke, L. Hardman, A. G. Hauptmann, D. Paulus, & S. Staab (Eds.), Lecture Notes in Computer Science (Vol. 5392). Springer.
    7. Franz, T., Dellschaft, K., & Staab, S. (2008). Unlock Your Data: The Case of MyTag. Future Internet - FIS 2008, First Future Internet Symposium, FIS              2008, Vienna, Austria, September 29-30, 2008, Revised Selected Papers, 117--129. https://doi.org/10.1007/978-3-642-00985-3_10
    8. Görlitz, O., Sizov, S., & Staab, S. (2008). PINTS: peer-to-peer infrastructure for tagging systems. Proceedings of the 7th International Conference on Peer-to-Peer Systems,                IPTPS’08, Tampa, FL, USA, February 25-26, 2008, 19. http://www.iptps.org/papers-2008/44.pdf
    9. Görlitz, O., Sizov, S., & Staab, S. (2008). Tagster - Tagging-Based Distributed Content Sharing. The Semantic Web: Research and Applications, 5th European Semantic              Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June              1-5, 2008, Proceedings, 807--811. https://doi.org/10.1007/978-3-540-68234-9_63
    10. Mylonas, P., Solachidis, V., Geyer-Schulz, A., Hoser, B., Chapman, S., Ciravegna, F., Staab, S., Smrz, P., Kompatsiaris, Y., & Avrithis, Y. S. (2008). Efficient Media Exploitation Towards Collective Intelligence. Advances in Data Analysis, Data Handling and Business Intelligence              - Proceedings of the 32nd Annual Conference of the Gesellschaft Für              Klassifikation e.V., Joint Conference with the British Classification              Society (BCS) and the Dutch/Flemish Classification Society (VOC),                Helmut-Schmidt-University, Hamburg, July 16-18, 2008, 723--732. https://doi.org/10.1007/978-3-642-01044-6_66
    11. Müller, J. P., Berger, M., Fischbach, K., Kirn, S., & Staab, S. (2008). Vorwort: Dezentralität als Entwurfsprinzip: Anwendungskonzepte                und Vorgehensweisen für dezentrale Informationssysteme. Multikonferenz Wirtschaftsinformatik, MKWI 2008, München,                26.2.2008 - 28.2.2008, Proceedings. http://ibis.in.tum.de/mkwi08/05_Dezentralitaet_als_Entwurfsprinzip/00_Vorwort_Dezentralitaet.pdf
    12. Parreiras, F. S., Staab, S., & Winter, A. (2008). Improving Design Patterns by Description Logics: A Use Case with                Abstract Factory and Strategy. Modellierung 2008, 12.-14. März 2008, Berlin, 89--104. http://subs.emis.de/LNI/Proceedings/Proceedings127/article2107.html
    13. Parreiras, F. S., Staab, S., Schenk, S., & Winter, A. (2008). Model Driven Specification of Ontology Translations. Conceptual Modeling - ER 2008, 27th International Conference on                Conceptual Modeling, Barcelona, Spain, October 20-24, 2008. Proceedings, 484--497. https://doi.org/10.1007/978-3-540-87877-3_35
    14. Saathoff, C., & Staab, S. (2008). Exploiting Spatial Context in Image Region Labelling Using Fuzzy Constraint                Reasoning. Ninth International Workshop on Image Analysis for Multimedia Interactive              Services, WIAMIS 2008, Klagenfurt, Austria, May 7-9, 2008, 16--19. https://doi.org/10.1109/WIAMIS.2008.34
    15. Saathoff, C., Grzegorzek, M., & Staab, S. (2008). Labelling Image Regions Using Wavelet Features and Spatial Prototypes. Semantic Multimedia, Third International Conference on Semantic and                Digital Media Technologies, SAMT 2008, Koblenz, Germany, December              3-5, 2008. Proceedings, 89--104. https://doi.org/10.1007/978-3-540-92235-3_9
    16. Schenk, S., & Staab, S. (2008). Networked graphs: a declarative mechanism for SPARQL rules, SPARQL                views and RDF data integration on the web. Proceedings of the 17th International Conference on World Wide Web,                WWW 2008, Beijing, China, April 21-25, 2008, 585--594. https://doi.org/10.1145/1367497.1367577
    17. Schueler, B., Sizov, S., Staab, S., & Tran, D. T. (2008). Querying for meta knowledge. Proceedings of the 17th International Conference on World Wide Web,                WWW 2008, Beijing, China, April 21-25, 2008, 625--634. https://doi.org/10.1145/1367497.1367582
    18. The Semantic Web - ISWC 2008, 7th International Semantic Web Conference,                ISWC 2008, Karlsruhe, Germany, October 26-30, 2008. Proceedings. (2008). In A. P. Sheth, S. Staab, M. Dean, M. Paolucci, D. Maynard, T. W. Finin, & K. Thirunarayan (Eds.), Lecture Notes in Computer Science (Vol. 5318). Springer.
    19. Solachidis, V., Mylonas, P., Geyer-Schulz, A., Hoser, B., Chapman, S., Ciravegna, F., Lanfranchi, V., Scherp, A., Staab, S., Contopoulos, C., Gkika, I., Bakaimis, B., Smrz, P., Kompatsiaris, Y., & Avrithis, Y. S. (2008). Collective Intelligence Generation from User Contributed Content. Advances in Data Analysis, Data Handling and Business Intelligence              - Proceedings of the 32nd Annual Conference of the Gesellschaft Für              Klassifikation e.V., Joint Conference with the British Classification              Society (BCS) and the Dutch/Flemish Classification Society (VOC),                Helmut-Schmidt-University, Hamburg, July 16-18, 2008, 765--774. https://doi.org/10.1007/978-3-642-01044-6_70
    20. Journal on Data Semantics XI. (2008). In S. Spaccapietra, J. Z. Pan, P. Thiran, T. A. Halpin, S. Staab, V. Svátek, P. Shvaiko, & J. F. Roddick (Eds.), Lecture Notes in Computer Science (Vol. 5383). Springer.
    21. Staab, S., Scherp, A., Arndt, R., Troncy, R., Grzegorzek, M., Saathoff, C., Schenk, S., & Hardman, L. (2008). Semantic Multimedia. Reasoning Web, 4th International Summer School 2008, Venice, Italy,                September 7-11, 2008, Tutorial Lectures, 125--170. https://doi.org/10.1007/978-3-540-85658-0_4
  16. 2007

    1. Arndt, R., Troncy, R., Staab, S., Hardman, L., & Vacura, M. (2007). COMM: Designing a Well-Founded Multimedia Ontology for the Web. The Semantic Web, 6th International Semantic Web Conference, 2nd Asian              Semantic Web Conference, ISWC 2007 + ASWC 2007, Busan, Korea,                November 11-15, 2007., 30--43. https://doi.org/10.1007/978-3-540-76298-0_3
    2. Poster and Demo Proceedings of the 1st International Conference on                Semantic and Digital Media Technologies, Athens, Greece, December                6-8, 2006. (2007). In Y. S. Avrithis, Y. Kompatsiaris, S. Staab, & N. E. O’Connor (Eds.), CEUR Workshop Proceedings (Vol. 233). CEUR-WS.org.
    3. d’Amato, C., Staab, S., Fanizzi, N., & Esposito, F. (2007). Efficient Discovery of Services Specified in Description Logics Languages. Proceedings of the SMR\(^2\) 2007 Workshop on Service Matchmaking              and Resource Retrieval in the Semantic Web (SMRR 2007) Co-Located              with ISWC 2007 + ASWC 2007, Busan, South Korea, November 11, 2007. http://ceur-ws.org/Vol-243/SMR2-2007-paper2.pdf
    4. Dillon, T. S., Missikoff, M., & Staab, S. (2007). ODBASE 2007 PC Co-chairs’ Message. On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE,                GADA, and IS, OTM Confederated International Conferences CoopIS,                DOA, ODBASE, GADA, and IS 2007, Vilamoura, Portugal, November 25-30,                2007, Proceedings, Part I, 811--812. https://doi.org/10.1007/978-3-540-76848-7_53
    5. Franz, T., Staab, S., & Arndt, R. (2007). The X-COSIM integration framework for a seamless semantic desktop. Proceedings of the 4th International Conference on Knowledge Capture              (K-CAP 2007), October 28-31, 2007, Whistler, BC, Canada, 143--150. https://doi.org/10.1145/1298406.1298433
    6. Kubias, A., Schenk, S., Staab, S., & Pan, J. Z. (2007). OWL SAIQL - An OWL DL Query Language for Ontology Extraction. Proceedings of the OWLED 2007 Workshop on OWL: Experiences and                Directions, Innsbruck, Austria, June 6-7, 2007. http://ceur-ws.org/Vol-258/paper43.pdf
    7. Löser, A., Staab, S., & Tempich, C. (2007). Semantic social overlay networks. IEEE Journal on Selected Areas in Communications, 25(1), 5--14. https://doi.org/10.1109/JSAC.2007.070102
    8. Naik, K., Wei, D. S. L., Kuo, S.-Y., Hara, T., Staab, S., Spatscheck, O., & Steenstrup, M. (2007). Guest editorial peer-to-peer communications and applications. IEEE Journal on Selected Areas in Communications, 25(1), 1--4. https://doi.org/10.1109/JSAC.2007.070101
    9. Parreiras, F. S., Staab, S., & Winter, A. (2007). On marrying ontological and metamodeling technical spaces. Proceedings of the 6th Joint Meeting of the European Software Engineering              Conference and the ACM SIGSOFT International Symposium on Foundations              of Software Engineering, 2007, Dubrovnik, Croatia, September 3-7,                2007, 439--448. https://doi.org/10.1145/1287624.1287687
    10. Ringelstein, C., & Staab, S. (2007). Logging in Distributed Workflows. Proceedings of the ISWC’07 Workshop on Privacy Enforcement and Accountability              with Semantics (PEAS 2007), Busan, Korea, Nov. 12, 2007. http://ceur-ws.org/Vol-320/paper3.pdf
    11. Schueler, B., Sizov, S., & Staab, S. (2007). Management of Meta Knowledge for RDF Repositories. Proceedings of the First IEEE International Conference on Semantic              Computing (ICSC 2007), September 17-19, 2007, Irvine, California,                USA, 543--550. https://doi.org/10.1109/ICSC.2007.79
  17. 2006

    1. Semantic Multimedia, First International Conference on Semantics and                Digital Media Technologies, SAMT 2006, Athens, Greece, December                6-8, 2006, Proceedings. (2006). In Y. S. Avrithis, Y. Kompatsiaris, S. Staab, & N. E. O’Connor (Eds.), Lecture Notes in Computer Science (Vol. 4306). Springer.
    2. Ciravegna, F., & Staab, S. (2006). X-Media: Large Scale Knowledge Acquisition, Sharing and Reuse across-Media. Poster and Demo Proceedings of the 1st International Conference on                Semantic and Digital Media Technologies, Athens, Greece, December              6-8, 2006. http://ceur-ws.org/Vol-233/p63.pdf
    3. d’Amato, C., & Staab, S. (2006). Modeling, Matching and Ranking Services Based on Constraint Hardness. Business Process Management Workshops, BPM 2006 International Workshops,                BPD, BPI, ENEI, GPWW, DPM, Semantics4ws, Vienna, Austria, September              4-7, 2006, Proceedings, 471--482. https://doi.org/10.1007/11837862_44
    4. Dellschaft, K., & Staab, S. (2006). On How to Perform a Gold Standard Based Evaluation of Ontology Learning. The Semantic Web - ISWC 2006, 5th International Semantic Web Conference,                ISWC 2006, Athens, GA, USA, November 5-9, 2006, Proceedings, 228--241. https://doi.org/10.1007/11926078_17
    5. Ehrig, M., & Staab, S. (2006). Satisficing Ontology Mapping. In Semantic Web and Peer-to-Peer (pp. 217--233). https://doi.org/10.1007/3-540-28347-1_12
    6. Haase, P., Schnizler, B., Broekstra, J., Ehrig, M., van Harmelen, F., Menken, M., Mika, P., Plechawski, M., Pyszlak, P., Siebes, R., Staab, S., & Tempich, C. (2006). Bibster - A Semantics-Based Bibliographic Peer-to-Peer System. In Semantic Web and Peer-to-Peer (pp. 349--363). https://doi.org/10.1007/3-540-28347-1_19
    7. Oberle, D., Lamparter, S., Grimm, S., Vrandecic, D., Staab, S., & Gangemi, A. (2006). Towards ontologies for formalizing modularization and communication                in large software systems. Applied Ontology, 1(2), 163--202. http://iospress.metapress.com/content/2t1902xnx417262x/
    8. Oberle, D., Staab, S., & Eberhart, A. (2006). Web Systems: Semantic Management of Distributed Web Applications. IEEE Distributed Systems Online, 7(5), Article 5. https://doi.org/10.1109/MDSO.2006.33
    9. Petridis, K., Anastasopoulos, D., Saathoff, C., Timmermann, N., Kompatsiaris, Y., & Staab, S. (2006). M-OntoMat-Annotizer: Image Annotation Linking Ontologies and Multimedia                Low-Level Features. Knowledge-Based Intelligent Information and Engineering Systems, 10th              International Conference, KES 2006, Bournemouth, UK, October 9-11,                2006, Proceedings, Part III, 633--640. https://doi.org/10.1007/11893011_80
    10. Pinto, H. S., Staab, S., Tempich, C., & Sure, Y. (2006). Distributed Engineering of Ontologies (DILIGENT). In Semantic Web and Peer-to-Peer (pp. 303--322). https://doi.org/10.1007/3-540-28347-1_16
    11. Staab, S., Franz, T., Görlitz, O., Saathoff, C., Schenk, S., & Sizov, S. (2006). Lifecycle Knowledge Management: Getting the Semantics Across in X-Media. Foundations of Intelligent Systems, 16th International Symposium,                ISMIS 2006, Bari, Italy, September 27-29, 2006, Proceedings, 1--10. https://doi.org/10.1007/11875604_1
    12. Managing Knowledge in a World of Networks, 15th International Conference,                EKAW 2006, Podebrady, Czech Republic, October 2-6, 2006, Proceedings. (2006). In S. Staab & V. Svátek (Eds.), Lecture Notes in Computer Science (Vol. 4248). Springer.
    13. Staab, S., & Stuckenschmidt, H. (Eds.). (2006). Semantic Web and Peer-to-Peer - Decentralized Management and Exchange                of Knowledge and Information. Springer. https://doi.org/10.1007/3-540-28347-1
    14. Stuckenschmidt, H., van Harmelen, F., Siberski, W., & Staab, S. (2006). Peer-to-Peer and Semantic Web. In Semantic Web and Peer-to-Peer (pp. 1--17). https://doi.org/10.1007/3-540-28347-1_1
    15. Tempich, C., Pinto, H. S., & Staab, S. (2006). Ontology Engineering Revisited: An Iterative Case Study. The Semantic Web: Research and Applications, 3rd European Semantic              Web Conference, ESWC 2006, Budva, Montenegro, June 11-14, 2006,                Proceedings, 110--124. https://doi.org/10.1007/11762256_11
    16. Tempich, C., & Staab, S. (2006). Semantic Query Routing in Unstructured Networks Using Social Metaphors. In Semantic Web and Peer-to-Peer (pp. 107--123). https://doi.org/10.1007/3-540-28347-1_6
  18. 2005

    1. Abecker, A., van Elst, L., & Staab, S. (2005). PAIKM-2005 - Peer-to-Peer and Agent Infrastructures for Knowledge                Management. Professional Knowledge Management, Third Biennial Conference, WM              2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected              Papers, 222--223. https://doi.org/10.1007/11590019_25
    2. Bloehdorn, S., Cimiano, P., Hotho, A., & Staab, S. (2005). An Ontology-based Framework for Text Mining. LDV Forum, 20(1), 87--112. http://www.jlcl.org/2005_Heft1/87-112_BloehdornCimianoHothoStaab.pdf
    3. Bloehdorn, S., Petridis, K., Saathoff, C., Simou, N., Tzouvaras, V., Avrithis, Y. S., Handschuh, S., Kompatsiaris, I., Staab, S., & Strintzis, M. G. (2005). Semantic Annotation of Images and Videos for Multimedia Analysis. The Semantic Web: Research and Applications, Second European Semantic              Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June              1, 2005, Proceedings, 592--607. https://doi.org/10.1007/11431053_40
    4. Cimiano, P., Ladwig, G., & Staab, S. (2005). Gimme’ the context: context-driven automatic semantic annotation with                C-PANKOW. Proceedings of the 14th International Conference on World Wide Web,                WWW 2005, Chiba, Japan, May 10-14, 2005, 332--341. https://doi.org/10.1145/1060745.1060796
    5. Cimiano, P., Hotho, A., & Staab, S. (2005). Learning Concept Hierarchies from Text Corpora using Formal Concept                Analysis. J. Artif. Intell. Res. (JAIR), 24, 305--339. https://doi.org/10.1613/jair.1648
    6. Ehrig, M., Staab, S., & Sure, Y. (2005). Bootstrapping Ontology Alignment Methods with APFEL. The Semantic Web - ISWC 2005, 4th International Semantic Web Conference,                ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings, 186--200. https://doi.org/10.1007/11574620_16
    7. Ehrig, M., Sure, Y., & Staab, S. (2005). Supervised Learning of an Ontology Alignment Process. Professional Knowledge Management, Third Biennial Conference, WM              2005, Kaiserslautern, Germany, April 10-13, 2005, Revised Selected              Papers, 508--517. https://doi.org/10.1007/11590019_58
    8. Franz, T., & Staab, S. (2005). SAM: Semantics Aware Instant Messaging for the Networked Semantic                Desktop. Proceedings of the ISWC 2005 Workshop on The Semantic Desktop -                Next Generation Information Management & Collaboration Infrastructure.                Galway, Ireland, November 6, 2005. http://ceur-ws.org/Vol-175/11_franzstaab_sam_final.pdf
    9. Semantic Interoperability and Integration. (2005). In Y. Kalfoglou, W. M. Schorlemmer, A. P. Sheth, S. Staab, & M. Uschold (Eds.), Dagstuhl Seminar Proceedings (Vol. 04391). IBFI, Schloss Dagstuhl, Germany. http://drops.dagstuhl.de/portals/04391/
    10. Löser, A., Tempich, C., Quilitz, B., Balke, W.-T., Staab, S., & Nejdl, W. (2005). Searching Dynamic Communities with Personal Indexes. The Semantic Web - ISWC 2005, 4th International Semantic Web Conference,                ISWC 2005, Galway, Ireland, November 6-10, 2005, Proceedings, 491--505. https://doi.org/10.1007/11574620_36
    11. Löser, A., Staab, S., & Tempich, C. (2005). Semantic Methods for P2P Query Routing. Multiagent System Technologies, Third German Conference, MATES 2005,                Koblenz, Germany, September 11-13, 2005, Proceedings, 15--26. https://doi.org/10.1007/11550648_2
    12. Oberle, D., Lamparter, S., Eberhart, A., & Staab, S. (2005). Semantic Management of Web Services. 2005 IEEE International Conference on Web Services (ICWS 2005),                11-15 July 2005, Orlando, FL, USA, 833--834. https://doi.org/10.1109/ICWS.2005.104
    13. Oberle, D., Staab, S., Studer, R., & Volz, R. (2005). Supporting application development in the semantic web. ACM Trans. Internet Techn., 5(2), 328--358. https://doi.org/10.1145/1064340.1064342
    14. Oberle, D., Staab, S., & Volz, R. (2005). Three Dimensions of Knowledge Representation in WonderWeb. KI, 19(1), 31. http://www.kuenstliche-intelligenz.de/index.php?id=no-6423&tx_ki_pi1showUid=1059&cHash=721dd8d292
    15. Simou, N., Saathoff, C., Dasiopoulou, S., Spyrou, E., Voisine, N., Tzouvaras, V., Kompatsiaris, I., Avrithis, Y. S., & Staab, S. (2005). An Ontology Infrastructure for Multimedia Reasoning. Visual Content Processing and Representation, 9th International Workshop,                VLBV 2005, Sardinia, Italy, September 15-16, 2005, Revised Selected              Papers, 51--60. https://doi.org/10.1007/11738695_8
    16. Staab, S., Domingos, P., Mika, P., Golbeck, J., Ding, L., Finin, T. W., Joshi, A., Nowak, A., & Vallacher, R. R. (2005). Social Networks Applied. IEEE Intelligent Systems, 20(1), 80--93. https://doi.org/10.1109/MIS.2005.16
    17. Staab, S. (2005). World Wide Web Conference 2005 - Semantic Web track. J. Web Sem., 3(4), 245--246. https://doi.org/10.1016/j.websem.2005.09.009
    18. Tempich, C., Pinto, H. S., Sure, Y., & Staab, S. (2005). An Argumentation Ontology for DIstributed, Loosely-controlled and                evolvInG Engineering processes of oNTologies (DILIGENT). The Semantic Web: Research and Applications, Second European Semantic              Web Conference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June              1, 2005, Proceedings, 241--256. https://doi.org/10.1007/11431053_17
    19. Volz, R., Staab, S., & Motik, B. (2005). Incrementally Maintaining Materializations of Ontologies Stored in                Logic Databases. J. Data Semantics, 2, 1--34. https://doi.org/10.1007/978-3-540-30567-5_1
    20. Wolff, F., Oberle, D., Lamparter, S., & Staab, S. (2005). Economic Reflections on Managing Web Service Using Semantics. Enterprise Modelling and Information Systems Architectures, Proceedings              of the Workshop in Klagenfurt, October 24-25, 2005, 194--207. http://subs.emis.de/LNI/Proceedings/Proceedings75/article3787.html
  19. 2004

    1. Aberer, K., Cudré-Mauroux, P., Ouksel, A. M., Catarci, T., Hacid, M.-S., Illarramendi, A., Kashyap, V., Mecella, M., Mena, E., Neuhold, E. J., Troyer, O. D., Risse, T., Scannapieco, M., Saltor, F., Santis, L. D., Spaccapietra, S., Staab, S., & Studer, R. (2004). Emergent Semantics Principles and Issues. Database Systems for Advances Applications, 9th International Conference,                DASFAA 2004, Jeju Island, Korea, March 17-19, 2004, Proceedings, 25--38. https://doi.org/10.1007/978-3-540-24571-1_2
    2. Aberer, K., Catarci, T., Cudré-Mauroux, P., Dillon, T. S., Grimm, S., Hacid, M.-S., Illarramendi, A., Jarrar, M., Kashyap, V., Mecella, M., Mena, E., Neuhold, E. J., Ouksel, A. M., Risse, T., Scannapieco, M., Saltor, F., Santis, L. D., Spaccapietra, S., Staab, S., … Troyer, O. D. (2004). Emergent Semantics Systems. Semantics for Grid Databases, First International IFIP Conference              on Semantics of a Networked World: ICSNW 2004, Paris, France, June              17-19, 2004. Revised Selected Papers, 14--43. https://doi.org/10.1007/978-3-540-30145-5_2
    3. Agarwal, S., Handschuh, S., & Staab, S. (2004). Annotation, composition and invocation of semantic web services. J. Web Sem., 2(1), 31--48. https://doi.org/10.1016/j.websem.2004.07.003
    4. Aroyo, L., Dicheva, D., Brusilovsky, P., D\’ıaz, P., Dimitrova, V., Duval, E., Greer, J. E., Hirashima, T., Hoppe, H. U., Houben, G.-J., Ikeda, M., Kay, J., Kinshuk, Melis, E., Mitrovic, T., Naeve, A., Nykänen, O., Paquette, G., Retalis, S., … Wagner, G. (2004). Workshop on Applications of Semantic Web Technologies for E-learning                p. Intelligent Tutoring Systems, 7th International Conference, ITS              2004, Maceiò, Alagoas, Brazil, August 30 - September 3, 2004,                Proceedings, 912. https://doi.org/10.1007/978-3-540-30139-4_124
    5. Cimiano, P., Hotho, A., & Staab, S. (2004). Clustering Concept Hierarchies from Text. Proceedings of the Fourth International Conference on Language Resources              and Evaluation, LREC 2004, May 26-28, 2004, Lisbon, Portugal. http://www.lrec-conf.org/proceedings/lrec2004/pdf/62.pdf
    6. Cimiano, P., Hotho, A., & Staab, S. (2004). Comparing Conceptual, Divise and Agglomerative Clustering for Learning                Taxonomies from Text. Proceedings of the 16th Eureopean Conference on Artificial Intelligence,                ECAI’2004, Including Prestigious Applicants of Intelligent Systems,                PAIS 2004, Valencia, Spain, August 22-27, 2004, 435--439.
    7. Cimiano, P., & Staab, S. (2004). Learning by Googling. SIGKDD Explorations, 6(2), 24--33. https://doi.org/10.1145/1046456.1046460
    8. Cimiano, P., Handschuh, S., & Staab, S. (2004). Towards the self-annotating web. Proceedings of the 13th International Conference on World Wide Web,                WWW 2004, New York, NY, USA, May 17-20, 2004, 462--471. https://doi.org/10.1145/988672.988735
    9. Ehrig, M., & Staab, S. (2004). QOM - Quick Ontology Mapping. The Semantic Web - ISWC 2004: Third International Semantic Web Conference,Hiroshima,                Japan, November 7-11, 2004. Proceedings, 683--697. https://doi.org/10.1007/978-3-540-30475-3_47
    10. Friedland, N. S., Allen, P. G., Matthews, G., Witbrock, M. J., Baxter, D., Curtis, J., Shepard, B., Miraglia, P., Angele, J., Staab, S., Mönch, E., Oppermann, H., Wenke, D., Israel, D. J., Chaudhri, V. K., Porter, B. W., Barker, K., Fan, J., Chaw, S. Y., … Clark, P. (2004). Project Halo: Towards a Digital Aristotle. AI Magazine, 25(4), 29--48. http://www.aaai.org/ojs/index.php/aimagazine/article/view/1783
    11. Friedland, N. S., Allen, P. G., Witbrock, M. J., Matthews, G., Salay, N., Miraglia, P., Angele, J., Staab, S., Israel, D. J., Chaudhri, V. K., Porter, B. W., Barker, K., & Clark, P. (2004). Towards a Quantitative, Platform-Independent Analysis of Knowledge                Systems. Principles of Knowledge Representation and Reasoning: Proceedings              of the Ninth International Conference (KR2004), Whistler, Canada,                June 2-5, 2004, 507--515. http://www.aaai.org/Library/KR/2004/kr04-053.php
    12. Haase, P., Schnizler, B., Broekstra, J., Ehrig, M., van Harmelen, F., Menken, M., Mika, P., Plechawski, M., Pyszlak, P., Siebes, R., Staab, S., & Tempich, C. (2004). Bibster - a semantics-based bibliographic Peer-to-Peer system. J. Web Sem., 2(1), 99--103. https://doi.org/10.1016/j.websem.2004.09.006
    13. Haase, P., Broekstra, J., Ehrig, M., Menken, M., Mika, P., Olko, M., Plechawski, M., Pyszlak, P., Schnizler, B., Siebes, R., Staab, S., & Tempich, C. (2004). Bibster - A Semantics-Based Bibliographic Peer-to-Peer System. The Semantic Web - ISWC 2004: Third International Semantic Web Conference,Hiroshima,                Japan, November 7-11, 2004. Proceedings, 122--136. https://doi.org/10.1007/978-3-540-30475-3_10
    14. Maedche, A., & Staab, S. (2004). Ontology Learning. In Handbook on Ontologies (pp. 173--190).
    15. Oberle, D., Staab, S., & Volz, R. (2004). An application server for the semantic web. Proceedings of the 13th International Conference on World Wide Web              - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA,                May 17-20, 2004, 220--221. https://doi.org/10.1145/1013367.1013405
    16. Oberle, D., Volz, R., Staab, S., & Motik, B. (2004). An Extensible Ontology Software Environment. In Handbook on Ontologies (pp. 299--320).
    17. Oberle, D., Eberhart, A., Staab, S., & Volz, R. (2004). Developing and Managing Software Components in an Ontology-Based Application                Server. Middleware 2004, ACM/IFIP/USENIX International Middleware Conference,                Toronto, Canada, October 18-20, 2004, Proceedings, 459--477. https://doi.org/10.1007/978-3-540-30229-2_24
    18. Patel-Schneider, P. F., & Staab, S. (2004). World Wide Web Conference 2004 - Semantic Web Track. J. Web Sem., 2(2), 107. https://doi.org/10.1016/j.websem.2004.10.004
    19. Pekar, V., Krkoska, M., & Staab, S. (2004). Feature Weighting for Co-occurrence-based Classification of Words. COLING 2004, 20th International Conference on Computational Linguistics,                Proceedings of the Conference, 23-27 August 2004, Geneva, Switzerland. http://www.aclweb.org/anthology/C04-1115
    20. Petridis, K., Kompatsiaris, I., Strintzis, M. G., Bloehdorn, S., Handschuh, S., Staab, S., Simou, N., Tzouvaras, V., & Avrithis, Y. S. (2004). Knowledge Representation for Semantic Multimedia Content Analysis                and Reasoning. Knowledge-Based Media Analysis for Self-Adaptive and Agile Multi-Media,                Proceedings of the European Workshop for the Integration of Knowledge,                Semantics and Digital Media Technology, EWIMT 2004, November 25-26,                2004, London, UK.
    21. Pinto, H. S., Staab, S., & Tempich, C. (2004). DILIGENT: Towards a fine-grained methodology for Distributed, Loosely-controlled                and evolving Engineering of oNTologies. Proceedings of the 16th Eureopean Conference on Artificial Intelligence,                ECAI’2004, Including Prestigious Applicants of Intelligent Systems,                PAIS 2004, Valencia, Spain, August 22-27, 2004, 393--397.
    22. Pinto, H. S., Staab, S., Sure, Y., & Tempich, C. (2004). OntoEdit Empowering SWAP: a Case Study in Supporting DIstributed,                Loosely-Controlled and evolvInG Engineering of oNTologies (DILIGENT). The Semantic Web: Research and Applications, First European Semantic              Web Symposium, ESWS 2004, Heraklion, Crete, Greece, May 10-12, 2004,                Proceedings, 16--30. https://doi.org/10.1007/978-3-540-25956-5_2
    23. Handbook on Ontologies. (2004). In S. Staab & R. Studer (Eds.), Handbook on Ontologies. Springer.
    24. Staab, S. (2004). Introduction to the Special Theme. J. of IT & Tourism, 7(3–4), 181--182. https://doi.org/10.3727/109830505774297247
    25. Staab, S., Bhargava, B. K., Lilien, L., Rosenthal, A., Winslett, M., Sloman, M., Dillon, T. S., Chang, E., Hussain, F. K., Nejdl, W., Olmedilla, D., & Kashyap, V. (2004). The Pudding of Trust. IEEE Intelligent Systems, 19(5), 74--88. https://doi.org/10.1109/MIS.2004.52
    26. Sure, Y., Staab, S., & Studer, R. (2004). On-To-Knowledge Methodology (OTKM). In Handbook on Ontologies (pp. 117--132).
    27. Tempich, C., Staab, S., & Wranik, A. (2004). Remindin’: semantic query routing in peer-to-peer networks based on                social metaphors. Proceedings of the 13th International Conference on World Wide Web,                WWW 2004, New York, NY, USA, May 17-20, 2004, 640--649. https://doi.org/10.1145/988672.988759
    28. Tempich, C., Ehrig, M., Fluit, C., Haase, P., Mart\’ı, E. L., Plechawski, M., & Staab, S. (2004). XAROP: A Midterm Report in Introducing a Decentralized Semantics-Based                Knowledge Sharing Application. Practical Aspects of Knowledge Management, 5th International Conference,                PAKM 2004, Vienna, Austria, December 2-3, 2004, Proceedings, 259--270. https://doi.org/10.1007/978-3-540-30545-3_25
    29. Volz, R., Handschuh, S., Staab, S., Stojanovic, L., & Stojanovic, N. (2004). Unveiling the hidden bride: deep annotation for mapping and migrating                legacy data to the Semantic Web. J. Web Sem., 1(2), 187--206. https://doi.org/10.1016/j.websem.2003.11.005
  20. 2003

    1. Agarwal, S., Handschuh, S., & Staab, S. (2003). Surfing the Service Web. The Semantic Web - ISWC 2003, Second International Semantic Web              Conference, Sanibel Island, FL, USA, October 20-23, 2003, Proceedings, 211--226. https://doi.org/10.1007/978-3-540-39718-2_14
    2. Angele, J., Mönch, E., Oppermann, H., Staab, S., & Wenke, D. (2003). Ontology-Based Meta-Inferencing. Proceedings of the 1st Indian International Conference on Artificial              Intelligence, IICAI 2003, Hyderabad, India, December 18-20, 2003, 799--808.
    3. Angele, J., Mönch, E., Oppermann, H., Staab, S., & Wenke, D. (2003). Ontology-Based Query and Answering in Chemistry: OntoNova @ Project                Halo. The Semantic Web - ISWC 2003, Second International Semantic Web              Conference, Sanibel Island, FL, USA, October 20-23, 2003, Proceedings, 913--928. https://doi.org/10.1007/978-3-540-39718-2_58
    4. Ehrig, M., Haase, P., Siebes, R., Staab, S., Stuckenschmidt, H., Studer, R., & Tempich, C. (2003). INVITED CONTRIBUTION The SWAP Data and Metadata Model for Semantics-Based                Peer-to-Peer Systems. Multiagent System Technologies, First German Conference, MATES 2003,                Erfurt, Germany, September 22-25, 2003, Proceedings, 144--155. https://doi.org/10.1007/978-3-540-39869-1_13
    5. Ehrig, M., Tempich, C., Broekstra, J., van Harmelen, F., Sabou, M., Siebes, R., Staab, S., & Stuckenschmidt, H. (2003). SWAP: Ontology-based Knowledge Management with Peer-to-Peer Technology. WM 2003: Professionelles Wissesmanagement - Erfahrungen Und Visionen,                Beiträge Der 2. Konferenz Professionelles Wissensmanagement,                2.-4. April 2003 in Luzern, 17--20. http://subs.emis.de/LNI/Proceedings/Proceedings28/article693.html
    6. Ehrig, M., Schmitz, C., Staab, S., Tane, J., & Tempich, C. (2003). Towards Evaluation of Peer-to-Peer-Based Distributed Knowledge Management                Systems. Agent Mediated Knowledge Management, International Symposium AMKM              2003, Stanford, CA, USA, March 24-26, 2003, Revised and Invited Papers, 73--88. https://doi.org/10.1007/978-3-540-24612-1_5
    7. Handschuh, S., Volz, R., & Staab, S. (2003). Annotation for the Deep Web. IEEE Intelligent Systems, 18(5), 42--48. https://doi.org/10.1109/MIS.2003.1234768
    8. Handschuh, S., & Staab, S. (2003). CREAM: CREAting Metadata for the Semantic Web. Computer Networks, 42(5), 579--598. https://doi.org/10.1016/S1389-1286(03)00226-3
    9. Handschuh, S., Staab, S., Volz, R., & Meyer, L. (2003). Deep Annotation for Information Integration. Proceedings of IJCAI-03 Workshop on Information Integration on the                Web (IIWeb-03), August 9-10, 2003, Acapulco, Mexico, 105--110. http://www.isi.edu/info-agents/workshops/ijcai03/papers/Handschuh.pdf
    10. Handschuh, S., Staab, S., & Studer, R. (2003). Leveraging Metadata Creation for the Semantic Web with CREAM. KI 2003: Advances in Artificial Intelligence, 26th Annual German              Conference on AI, KI 2003, Hamburg, Germany, September 15-18, 2003,                Proceedings, 19--33. https://doi.org/10.1007/978-3-540-39451-8_2
    11. Handschuh, S., Staab, S., & Volz, R. (2003). On deep annotation. Proceedings of the Twelfth International World Wide Web Conference,                WWW 2003, Budapest, Hungary, May 20-24, 2003, 431--438. https://doi.org/10.1145/775152.775214
    12. Hotho, A., Staab, S., & Stumme, G. (2003). Explaining Text Clustering Results Using Semantic Structures. Knowledge Discovery in Databases: PKDD 2003, 7th European Conference              on Principles and Practice of Knowledge Discovery in Databases, Cavtat-Dubrovnik,                Croatia, September 22-26, 2003, Proceedings, 217--228. https://doi.org/10.1007/978-3-540-39804-2_21
    13. Hotho, A., Maedche, A., Staab, S., & Zacharias, V. (2003). On Knowledgeable Unsupervised Text Mining. In Text Mining (pp. 131--152).
    14. Hotho, A., Staab, S., & Stumme, G. (2003). Ontologies Improve Text Document Clustering. Proceedings of the 3rd IEEE International Conference on Data Mining              (ICDM 2003), 19-22 December 2003, Melbourne, Florida, USA, 541--544. https://doi.org/10.1109/ICDM.2003.1250972
    15. Maedche, A., & Staab, S. (2003). KAON - The Karlsruhe Ontology and Semantic Web Meta Project. KI, 17(3), 27. http://www.kuenstliche-intelligenz.de/Artikel/KAON-TheKarlsruheOntologyandSemanticWebM.htm
    16. Maedche, A., Staab, S., Stojanovic, N., Studer, R., & Sure, Y. (2003). SEmantic portAL: The SEAL Approach. Spinning the Semantic Web: Bringing the World Wide Web to Its Full              Potential Outcome of a Dagstuhl Seminar, 317--359.
    17. Pekar, V., & Staab, S. (2003). Word classification based on combined measures of distributional and                semantic similarity. EACL 2003, 10th Conference of the European Chapter of the Association              for Computational Linguistics, April 12-17, 2003, Agro Hotel, Budapest,                Hungary, 147--150. http://acl.ldc.upenn.edu/E/E03/E03-1084.pdf
    18. WM 2003: Professionelles Wissesmanagement - Erfahrungen und Visionen,                Beiträge der 2. Konferenz Professionelles Wissensmanagement,                2.-4. April 2003 in Luzern. (2003). In U. Reimer, A. Abecker, S. Staab, & G. Stumme (Eds.), LNI (Vol. 28). GI.
    19. Santos, J., & Staab, S. (2003). Engineering a complex ontology with time. IJCAI-03, Proceedings of the Eighteenth International Joint Conference              on Artificial Intelligence, Acapulco, Mexico, August 9-15, 2003, 1406--1407.
    20. Santos, J., & Staab, S. (2003). FONTE: factorizing ONTology engineering complexity. Proceedings of the 2nd International Conference on Knowledge Capture              (K-CAP 2003), October 23-25, 2003, Sanibel Island, FL, USA, 146--153. https://doi.org/10.1145/945645.945667
    21. Staab, S., Heylighen, F., Gershenson, C., Flake, G. W., Pennock, D. M., Fain, D. C., Roure, D. D., Aberer, K., Shen, W.-M., Dousse, O., & Thiran, P. (2003). Neurons, Viscose Fluids, Freshwater Polyp Hydra-and Self-Organizing                Information Systems. IEEE Intelligent Systems, 18(4), 72--86. https://doi.org/10.1109/MIS.2003.1217631
    22. Staab, S., & Hotho, A. (2003). Ontology-based Text Document Clustering. Intelligent Information Processing and Web Mining, Proceedings of                the International IIS: IIPWM’03 Conference Held in Zakopane, Poland,                June 2-5, 2003, 451--452.
    23. Staab, S., van der Aalst, W. M. P., Benjamins, V. R., Sheth, A. P., Miller, J. A., Bussler, C., Maedche, A., Fensel, D., & Gannon, D. (2003). Web Services: Been There, Done That? IEEE Intelligent Systems, 18(1), 72--85. https://doi.org/10.1109/MIS.2003.1179197
    24. Sure, Y., Angele, J., & Staab, S. (2003). OntoEdit: Multifaceted Inferencing for Ontology Engineering. J. Data Semantics, 1, 128--152. https://doi.org/10.1007/978-3-540-39733-5_6
    25. Tempich, C., Staab, S., & Studer, R. (2003). TIME2Research - Ein Wissensportal für den Unternehmensanalysten. Wirtschaftsinformatik 2003, Medien - Märkte - Mobilität,                Band II, 373--392. http://aisel.aisnet.org/wi2003/72
    26. Volz, R., Staab, S., & Motik, B. (2003). Incremental Maintenance of dynamic Datalog programs. PSSS1 - Practical and Scalable Semantic Systems, Proceedings of                the First International Workshop on Practical and Scalable Semantic              Systems, Sanibel Island, Florida, USA, October 20, 2003. http://SunSITE.Informatik.RWTH-Aachen.de/Publications/CEUR-WS/Vol-89/volz-et-al.pdf
    27. Volz, R., Staab, S., & Motik, B. (2003). Incremental Maintenance of Materialized Ontologies. On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and                ODBASE - OTM Confederated International Conferences, CoopIS, DOA,                and ODBASE 2003, Catania, Sicily, Italy, November 3-7, 2003, 707--724. https://doi.org/10.1007/978-3-540-39964-3_45
    28. Volz, R., Oberle, D., Staab, S., & Motik, B. (2003). KAON SERVER - A Semantic Web Management System. Proceedings of the Twelfth International World Wide Web Conference              - Alternate Paper Tracks, WWW 2003, Budapest, Hungary, May 20-24,                2003. http://www2003.org/cdrom/papers/alternate/P029/p29-volz.html
    29. Volz, R., Oberle, D., Studer, R., & Staab, S. (2003). Views for Light-weight Web Ontologies. Proceedings of the 2003 ACM Symposium on Applied Computing (SAC),                March 9-12, 2003, Melbourne, FL, USA, 1168--1173.
  21. 2002

    1. Bozsak, E., Ehrig, M., Handschuh, S., Hotho, A., Maedche, A., Motik, B., Oberle, D., Schmitz, C., Staab, S., Stojanovic, L., Stojanovic, N., Studer, R., Stumme, G., Sure, Y., Tane, J., Volz, R., & Zacharias, V. (2002). KAON - Towards a Large Scale Semantic Web. E-Commerce and Web Technologies, Third International Conference, EC-Web              2002, Aix-En-Provence, France, September 2-6, 2002, Proceedings, 304--313. https://doi.org/10.1007/3-540-45705-4_32
    2. Proceedings of the WWW2002 International Workshop on the Semantic                Web, Hawaii, May 7, 2002. (2002). In M. Frank, N. F. Noy, & S. Staab (Eds.), CEUR Workshop Proceedings (Vol. 55). CEUR-WS.org.
    3. Frank, M. R., Noy, N. F., & Staab, S. (2002). Report on the Semantic Web Workshop at WWW 2002. SIGMOD Record, 31(3), 64--67. http://www.acm.org/sigmod/record/issues/0209/r0.www02-sw-workshop-no-refs.pdf
    4. Handschuh, S., & Staab, S. (2002). Authoring and annotation of web pages in CREAM. Proceedings of the Eleventh International World Wide Web Conference,                WWW 2002, May 7-11, 2002, Honolulu, Hawaii, 462--473. https://doi.org/10.1145/511446.511506
    5. Handschuh, S., Staab, S., & Ciravegna, F. (2002). S-CREAM - Semi-automatic CREAtion of Metadata. Knowledge Engineering and Knowledge Management. Ontologies and the                Semantic Web, 13th International Conference, EKAW 2002, Siguenza,                Spain, October 1-4, 2002, Proceedings, 358--372. https://doi.org/10.1007/3-540-45810-7_32
    6. Hotho, A., Maedche, A., & Staab, S. (2002). Ontology-based Text Document Clustering. KI, 16(4), 48--54.
    7. Maedche, A., & Staab, S. (2002). Measuring Similarity between Ontologies. Knowledge Engineering and Knowledge Management. Ontologies and the                Semantic Web, 13th International Conference, EKAW 2002, Siguenza,                Spain, October 1-4, 2002, Proceedings, 251--263. https://doi.org/10.1007/3-540-45810-7_24
    8. Maedche, A., Staab, S., Studer, R., Sure, Y., & Volz, R. (2002). SEAL - Tying Up Information Integration and Web Site Management                by Ontologies. IEEE Data Eng. Bull., 25(1), 10--17. http://sites.computer.org/debull/A02MAR-CD.pdf
    9. 1st German Workshop on Experience Management: Sharing Experiences                about the Sharing of Experience, Berlin, March 7-8, 2002, Proceedings. (2002). In M. Minor & S. Staab (Eds.), LNI (Vol. 10). GI.
    10. Nejdl, W., Wolf, B., Staab, S., & Tane, J. (2002). EDUTELLA: Searching and Annotating Resources within an RDF-based                P2P Network. Proceedings of the WWW2002 International Workshop on the Semantic              Web, Hawaii, May 7, 2002. http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-55/nejdl.pdf
    11. Pekar, V., & Staab, S. (2002). Taxonomy Learning - Factoring the Structure of a Taxonomy into a Semantic                Classification Decision. 19th International Conference on Computational Linguistics, COLING              2002, Howard International House and Academia Sinica, Taipei, Taiwan,                August 24 - September 1, 2002. http://aclweb.org/anthology/C02-1090
    12. Sollazzo, T., Handschuh, S., Staab, S., Frank, M. R., & Stojanovic, N. (2002). Semantic Web Service Architecture -- Evolving Web Service Standards                toward the Semantic Web. Proceedings of the Fifteenth International Florida Artificial Intelligence              Research Society Conference, May 14-16, 2002, Pensacola Beach, Florida,                USA, 425--429. http://www.aaai.org/Library/FLAIRS/2002/flairs02-083.php
    13. Staab, S. (2002). Emergent Semantics. IEEE Intelligent Systems, 17(1), 78--86. https://doi.org/10.1109/5254.988491
    14. Staab, S., Werthner, H., Ricci, F., Zipf, A., Gretzel, U., Fesenmaier, D. R., Paris, C., & Knoblock, C. A. (2002). Intelligent Systems for Tourism. IEEE Intelligent Systems, 17(6), 53--64. https://doi.org/10.1109/MIS.2002.1134362
    15. Staab, S. (2002). Knowledge Portals. KI, 16(1), 38--39.
    16. Staab, S. (2002). Ontologies’ KISSES in Standardization. IEEE Intelligent Systems, 17(2), 70--79. https://doi.org/10.1109/MIS.2002.999223
    17. Staab, S. (2002). Ontology Engineering (abstract of invited talk). Proceedings of the Baltic Conference, BalticDB&IS 2002, Volume              2, 1--2.
    18. Staab, S., & Studer, R. (2002). Service Wissensmanagement. KI, 16(1), 42.
    19. Staab, S. (2002). Wissensmanagement mit Ontologien und Metadaten. Informatik Spektrum, 25(3), 194--209. https://doi.org/10.1007/s002870200226
    20. Sure, Y., Staab, S., & Studer, R. (2002). Methodology for Development and Employment of Ontology Based Knowledge                Management Applications. SIGMOD Record, 31(4), 18--23. https://doi.org/10.1145/637411.637414
    21. Sure, Y., Erdmann, M., Angele, J., Staab, S., Studer, R., & Wenke, D. (2002). OntoEdit: Collaborative Ontology Development for the Semantic Web. The Semantic Web - ISWC 2002, First International Semantic Web Conference,                Sardinia, Italy, June 9-12, 2002, Proceedings, 221--235. https://doi.org/10.1007/3-540-48005-6_18
    22. Sure, Y., Angele, J., & Staab, S. (2002). OntoEdit: Guiding Ontology Development by Methodology and Inferencing. On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE              2002 Confederated International Conferences DOA, CoopIS and ODBASE              2002 Irvine, California, USA, October 30 - November 1, 2002, Proceedings, 1205--1222. https://doi.org/10.1007/3-540-36124-3_76
  22. 2001

    1. Handschuh, S., Staab, S., & Maedche, A. (2001). CREAM: Creating relational metadata with a component-based, ontology-driven                annotation framework. Proceedings of SWWS’01, The First Semantic Web Working Symposium,                Stanford University, California, USA, July 30 - August 1, 2001, 515--528. http://www.semanticweb.org/SWWS/program/full/paper4.pdf
    2. Handschuh, S., Staab, S., & Maedche, A. (2001). CREAting relational Metadata (CREAM) - a framework for semantic                annotation. The Emerging Semantic Web, Selected Papers from the First Semantic              Web Working Symposium, Stanford University, California, USA, July              30 - August 1, 2001.
    3. Proceedings of the K-CAP 2001 Workshop on Knowledge Markup and Semantic                Annotation Victoria, B.C., Canada, October 21, 2001. (2001). In S. Handschuh, R. Dieng, & S. Staab (Eds.), CEUR Workshop Proceedings (Vol. 99). CEUR-WS.org. http://ceur-ws.org/Vol-99
    4. Hotho, A., Maedche, A., Staab, S., & Studer, R. (2001). SEAL-II - The Soft Spot between Richly Structured and Unstructured                Knowledge. J. UCS, 7(7), 566--590. http://www.jucs.org/jucs_7_7/seal_ii_the_soft
    5. Hotho, A., Maedche, A., & Staab, S. (2001). Text Clustering Based on Good Aggregations. Proceedings of the 2001 IEEE International Conference on Data Mining,                29 November - 2 December 2001, San Jose, California, USA, 607--608. https://doi.org/10.1109/ICDM.2001.989577
    6. Klettke, M., Bietz, M., Bruder, I., Heuer, A., Priebe, D., Neumann, G., Becker, M., Bedersdorfer, J., Uszkoreit, H., Maedche, A., Staab, S., & Studer, R. (2001). GETESS - Ontologien, objektrelationale Datenbanken und Textanalyse                als Bausteine einer Semantischen Suchmaschine. Datenbank-Spektrum, 1, 14--24.
    7. IJCAI’2001 Workshop on Ontology Learning, Proceedings of the Second                Workshop on Ontology Learning OL’2001, Seattle, USA, August 4, 2001                (Held in conjunction with the 17th International Conference on Artificial                Intelligence IJCAI’2001). (2001). In A. Maedche, S. Staab, C. Nedellec, & E. H. Hovy (Eds.), CEUR Workshop Proceedings (Vol. 38). CEUR-WS.org.
    8. Maedche, A., & Staab, S. (2001). Learning Ontologies for the Semantic Web. SemWeb. http://CEUR-WS.org/Vol-40/maedche+staab.pdf
    9. Maedche, A., Staab, S., & Studer, R. (2001). Ontologien. Wirtschaftsinformatik, 43(4), 393--396. https://doi.org/10.1007/BF03250806
    10. Maedche, A., & Staab, S. (2001). Ontology Learning for the Semantic Web. IEEE Intelligent Systems, 16(2), 72--79. https://doi.org/10.1109/5254.920602
    11. Maedche, A., Staab, S., Stojanovic, N., Studer, R., & Sure, Y. (2001). SEAL - A Framework for Developing SEmantic Web PortALs. Advances in Databases, 18th British National Conference on Databases,                BNCOD 18, Chilton, UK, July 9-11, 2001, Proceedings, 1--22. https://doi.org/10.1007/3-540-45754-2_1
    12. Staab, S. (2001). From binary temporal relations to non-binary ones and back. Artif. Intell., 128(1–2), 1--29. https://doi.org/10.1016/S0004-3702(01)00068-6
    13. Staab, S., & Maedche, A. (2001). Knowledge Portals: Ontologies at Work. AI Magazine, 22(2), 63--75. http://www.aaai.org/ojs/index.php/aimagazine/article/view/1561
    14. Staab, S., Studer, R., Schnurr, H.-P., & Sure, Y. (2001). Knowledge Processes and Ontologies. IEEE Intelligent Systems, 16(1), 26--34. https://doi.org/10.1109/5254.912382
    15. Stojanovic, L., Staab, S., & Studer, R. (2001). Knowledge Technologies for the Semantic Web. Proceedings of WebNet 2001 - World Conference on the WWW and Internet,                Orlando, Florida, October 23-27, 2001, 1174--1183.
    16. Stojanovic, N., Maedche, A., Staab, S., Studer, R., & Sure, Y. (2001). SEAL: a framework for developing SEmantic PortALs. Proceedings of the First International Conference on Knowledge Capture              (K-CAP 2001), October 21-23, 2001, Victoria, BC, Canada, 155--162. https://doi.org/10.1145/500737.500762
  23. 2000

    1. Angele, J., Schnurr, H.-P., Staab, S., & Studer, R. (2000). The Times They Are A-Changin’ - The Corporate History Analyzer. PAKM 2000, Third International Conference on Practical Aspects of                Knowledge Management, Proceedings of the Third International Conference,                Basel, Switzerland, October 30-31, 2000. http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-34/angele_et_al.pdf
    2. Decker, S., Jannink, J., Melnik, S., Mitra, P., Staab, S., Studer, R., & Wiederhold, G. (2000). An Information Food Chain for Advanced Applications on the WWW. Research and Advanced Technology for Digital Libraries, 4th European              Conference, ECDL 2000, Lisbon, Portugal, September 18-20, 2000,                Proceedings, 490--493. https://doi.org/10.1007/3-540-45268-0_69
    3. Maedche, A., & Staab, S. (2000). Discovering Conceptual Relations from Text. ECAI 2000, Proceedings of the 14th European Conference on Artificial              Intelligence, Berlin, Germany, August 20-25, 2000, 321--325.
    4. Maedche, A., & Staab, S. (2000). Mining Ontologies from Text. Knowledge Acquisition, Modeling and Management, 12th International              Conference, EKAW 2000, Juan-Les-Pins, France, October 2-6, 2000,                Proceedings, 189--202. https://doi.org/10.1007/3-540-39967-4_14
    5. Maedche, A., & Staab, S. (2000). Ontology Learning from Text. Natural Language Processing and Information Systems, 5th International              Conference on Applications of Natural Language to Information Systems,                NLDB 2000, Versailles, France, June 28-30, 2000, Revised Papers, 364. https://doi.org/10.1007/3-540-45399-7_30
    6. Staab, S., Angele, J., Decker, S., Erdmann, M., Hotho, A., Maedche, A., Schnurr, H.-P., Studer, R., & Sure, Y. (2000). AI for the Web - Ontology-Based Community Web Portals. Proceedings of the Seventeenth National Conference on Artificial Intelligence              and Twelfth Conference on on Innovative Applications of Artificial              Intelligence, July 30 - August 3, 2000, Austin, Texas, USA., 1034--1039. http://www.aaai.org/Library/IAAI/2000/iaai00-015.php
    7. Staab, S., & O’Leary, D. E. (2000). Bringing knowledge to business processes - papers from the AAAI                symposium: March 20 - 22, Stanford, California. AAAI Press.
    8. ECAI’2000 Workshop on Ontology Learning, Proceedings of the First                Workshop on Ontology Learning OL’2000, Berlin, Germany, August 25,                2000. Held in conjunction with the 14th European Conference on Artificial                Intelligence ECAI’2000, Berlin, Germany. (2000). In S. Staab, A. Maedche, C. Nedellec, & P. M. Wiemer-Hastings (Eds.), CEUR Workshop Proceedings (Vol. 31). CEUR-WS.org.
    9. Staab, S., Angele, J., Decker, S., Erdmann, M., Hotho, A., Maedche, A., Schnurr, H.-P., Studer, R., & Sure, Y. (2000). Semantic community Web portals. Computer Networks, 33(1–6), 473--491. https://doi.org/10.1016/S1389-1286(00)00039-6
    10. Staab, S., & Schnurr, H.-P. (2000). Smart task support through proactive access to organizational memory. Knowl.-Based Syst., 13(5), 251--260. https://doi.org/10.1016/S0950-7051(00)00085-X
    11. Sure, Y., Maedche, A., & Staab, S. (2000). Leveraging Corporate Skill Knowledge - From ProPer to OntoProPer. PAKM 2000, Third International Conference on Practical Aspects of                Knowledge Management, Proceedings of the Third International Conference,                Basel, Switzerland, October 30-31, 2000. http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-34/sure_et_al.pdf
    12. Tsui, E., Garner, B. J., & Staab, S. (2000). The role of artificial intelligence in knowledge management. Knowl.-Based Syst., 13(5), 235--239. https://doi.org/10.1016/S0950-7051(00)00093-9
  24. 1999

    1. Barnekow, T., Staab, S., Ziegler, J., & Studer, R. (1999). An architecture for recovering business events bottom-up. Human-Computer Interaction: Communication, Cooperation, and Application              Design, Proceedings of HCI International ’99 (the 8th International              Conference on Human-Computer Interaction), Munich, Germany, August              22-26, 1999, Volume 2, 614--618.
    2. Fensel, D., Angele, J., Decker, S., Erdmann, M., Schnurr, H.-P., Staab, S., Studer, R., & Witt, A. (1999). On2broker: Semantic-Based Access to Information Sources at the WWW. Proceedings of the IJCAI-99 Workshop on Intelligent Information              Integration, Held on July 31, 1999 in Conjunction with the Sixteenth              International Joint Conference on Artificial Intelligence City Conference              Center, Stockholm, Sweden. http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-23/fensel-ijcai99-iii.pdf
    3. Staab, S., Braun, C., Bruder, I., Düsterhöft, A., Heuer, A., Klettke, M., Neumann, G., Prager, B., Pretzel, J., Schnurr, H.-P., Studer, R., Uszkoreit, H., & Wrenger, B. (1999). A System for Facilitating and Engancing Web Search. Engineering Applications of Bio-Inspired Artificial Neural Networks,                International Work-Conference on Artificial and Natural Neural Networks,                IWANN ’99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume              II, 706--714. https://doi.org/10.1007/BFb0100538
    4. Staab, S., Braun, C., Bruder, I., Düsterhöft, A., Heuer, A., Klettke, M., Neumann, G., Prager, B., Pretzel, J., Schnurr, H.-P., Studer, R., Uszkoreit, H., & Wrenger, B. (1999). GETESS - Searching the Web Exploiting German Texts. Cooperative Information Agents III, Third International Workshop,                CIA’ 99, Uppsala, Sweden, July 31 - August 2, 1999, Proceedings, 113--124. https://doi.org/10.1007/3-540-48414-0_7
    5. Staab, S. (1999). Grading Knowledge, Extracting Degree Information from Texts. In Lecture Notes in Computer Science (Vol. 1744). Springer. https://doi.org/10.1007/3-540-46618-5
    6. Staab, S., & Hahn, U. (1999). Scalable Temporal Reasoning. Proceedings of the Sixteenth International Joint Conference on Artificial              Intelligence, IJCAI 99, Stockholm, Sweden, July 31 - August 6, 1999.                2 Volumes, 1450 Pages, 1247--1252.
  25. 1998

    1. Staab, S., & Hahn, U. (1998). Distance Constraint Arrays: A Model for Reasoning on Intervals with                Qualitative and Quantitative Distances. Advances in Artificial Intelligence, 12th Biennial Conference of the                Canadian Society for Computational Studies of Intelligence, AI ’98,                Vancouver, BC, Canada, June 18-20, 1998, Proceedings, 334--348.
    2. Staab, S. (1998). Managing Dependency Knowledge for Software Development. Building, Maintaining, and Using Organizational Memories (OM-98),                Proceedings of the 1st Workshop OM-98, Brighton, UK, August 24-25,                1998. http://SunSITE.Informatik.RWTH-Aachen.DE/Publications/CEUR-WS/Vol-14/staab/staab.ps
    3. Staab, S. (1998). On Non-Binary Temporal Relations. ECAI, 567--571.
  26. 1997

    1. Staab, S., & Hahn, U. (1997). “Tall”, “Good”, “High” - Compared to What? Proceedings of the Fifteenth International Joint Conference on Artificial              Intelligence, IJCAI 97, Nagoya, Japan, August 23-29, 1997, 2 Volumes, 996--1001.
    2. Staab, S., & Hahn, U. (1997). Comparatives in Context. Proceedings of the Fourteenth National Conference on Artificial Intelligence              and Ninth Innovative Applications of Artificial Intelligence Conference,                AAAI 97, IAAI 97, July 27-31, 1997, Providence, Rhode Island., 616--621. http://www.aaai.org/Library/AAAI/1997/aaai97-096.php
    3. Staab, S. (1997). Conceptualizing Adjectives. KI-97: Advances in Artificial Intelligence, 21st Annual German Conference              on Artificial Intelligence, Freiburg, Germany, September 9-12, 1997,                Proceedings, 267--278. https://doi.org/10.1007/3540634932_21
  27. 1995

    1. Staab, S. (1995). GLR-parsing of word lattices using a beam search method. Fourth European Conference on Speech Communication and Technology,                EUROSPEECH 1995, Madrid, Spain, September 18-21, 1995. http://www.isca-speech.org/archive/eurospeech_1995/e95_1777.html
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