Semantic business process management (Semantic web & beyond, Vol. 10)

Semantic Business Process Management serves three main goals: providing an up-to-date, scientifically correct, concise and self-contained reference on SBPM, covering relevant tasks, practical and theoretical challenges and limitations, methodologies, and available tooling support, integrating the conceptual and technical challenges of using ontologies for managing business process spaces, with a business view on using ontologies, by stressing the cost dimension of ontology engineering and by providing guidance on how to derive ontologies semi-automatically from existing standards and specifications, and disseminating experiences, lessons learned, and best practices on SBPM from a number of application domains. An edited volume by distinguished leaders in the field, Semantic Business Process Management is designed as a reference for advanced-level students and researchers in computer science. Industry practitioners will also find this book useful.

Preface.- Overview. Semantic Business Process Management: State of the Ar. Business Potentia. and Grand Challenges. The Business Process Life-cycle: When and How Can Ontologies Help?- Ontology Engineering. An Ontology Stack for Semantic Business Process Management. Process Modeling Ontologies. Management Level Ontologies. Process Log and Mining Ontologies.- Tools and Infrastructure. Design-Time Tools and Infrastructure. Execution Environments. Semantics for Business Process Analytics: Process Mining and Reverse Business Engineering.- Experiences and Use Cases. Use Case: Semantics-supported CRM in the Telecommunications Industry. Use Case: Compliance and Corporate Governance: How Can Ontologies Help? Use Case: Semantics-supported Reverse Business Engineering of ERP Installations. Use Case: Semantics-supported Software Engineering in Service-oriented Environments.- Conclusion and Outlook. Index.