- STAFF PICKS
- GIFTS + GIFT CARDS
- SELL BOOKS
- FIND A STORE
Currently out of stock.
available for shipping or prepaid pickup only
Other titles in the Semantic Web and Beyond series:
Semantic Web and Beyond #10: Semantic Business Process Managementby Martin Hepp
Synopses & Reviews
Semantic Business Process Management serves three main goals: (1) 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; (2) 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 (3) 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.
This book covers the relevant tasks, practical and theoretical challenges and limitations, methodologies, and available tooling support of Semantic Business Process Management. It provides guidance on how to semi-automatically derive ontologies.
Table of Contents
Preface.- Overview. Semantic Business Process Management: State of the Art, Business Potential, 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.
What Our Readers Are Saying
Computers and Internet » Computers Reference » General