"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.
Reihe
Auflage
Sprache
Verlagsort
Zielgruppe
Für Beruf und Forschung
Research
Illustrationen
20 s/w Abbildungen
20 black & white illustrations
Maße
Höhe: 235 mm
Breite: 178 mm
ISBN-13
978-0-387-79873-8 (9780387798738)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
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.