Ontology-based Business Motivation Modeling

Thesis type	Diplom
Student	Florian Hasibether
Status	Finished
Submitted in	2009
Proposal on	08. Dec 2008 13:00
Proposal room	Fraunhofer FIT
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Presentation on	18. Nov 2009 16:00
Presentation room	Seminarraum I5
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Supervisor(s)	Prof. Dr. Matthias Jarke Prof. Dr. Thomas Rose
Advisor(s)	Ivan Markovic, Dipl.-Ing. (SAP Research, Karlsruhe) Dominik Schmitz

Today's globalized enterprises are under constant pressure for alignment with their competitive environment, calling for frequent rethinking of their corporate goals by considering the threats and opportunities they face in their industry. Flexible adaptation of business processes is seen as a key performance driver in highly volatile industries. Semantic Business Process Management studies the extension of Business Process Management systems with knowledge representation techniques with the objective to integrate abstract business knowledge into the business process modeling activities. This thesis is a contribution to knowledge-driven enterprise modeling. Motivated by current enterprise modeling efforts at SAP and driven by an in-depth domain analysis, the thesis provides an approach to express the motivation on which a company bases its actions and to integrate it with the enterprise's process space. To this end a formal model of business motivation is developed and its applicability is shown in a modeling prototype that also provides machine reasoning capabilities.