Buch, Englisch, Band 10, 295 Seiten, Format (B × H): 178 mm x 235 mm
Reihe: Semantic Web and Beyond
Buch, Englisch, Band 10, 295 Seiten, Format (B × H): 178 mm x 235 mm
Reihe: Semantic Web and Beyond
ISBN: 978-0-387-79873-8
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Zeichen- und Zahlendarstellungen
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management E-Commerce, E-Business, E-Marketing
Weitere Infos & Material
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.
