For optimizing business processes effectively, a profound analysis of all relevant business data in a company is necessary. This project aims to develop an approach to automatically integrate a company’s process execution data and operational business data in order to enable a more informative and comprehensive analysis.
We address the following issues:
development of an adequate ontology for semantic annotations
semantic annotation of process data
semantic annotation of operational data
automatic integration of process data and operational data: development of reasoning and schema matching algorithms
development of analysis techniques for the integrated data (OLAP and data mining)