Semantically-enriched business process modeling and management

Business Process Modeling is a means to intuitively describe the enterprise´s organizational structure and interrelated business processes with the help of diagrams that are composed of Business Objects and that are stored in a dedicated database, the Business Object Repository. A large set of Business Objects that occur in the process models is labeled in natural language expressions. These object labels are neither checked in terms of language competence nor in terms of their business performance. This dissertation describes innovative solutions which cover the topics that are not exhaustively handled like the verification on language level as well as the better alignment between modeling levels and implementation levels. The solution creates and employs a knowledge matrix that adds a machine processable semantic layer on top of the Business Repository.