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Computer Science - Database Management & Information Retrieval | Semantic Business Process Management

Semantic Business Process Management

Series: Semantic Web and Beyond, Vol. 10

Hepp, Martin, Domingue, John, Barros, Alistair (Eds.)

2012, 295p. 20 illus..


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ISBN 978-0-387-79874-5

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  • About this book

  • Serves as a one-stop reference on the state of the art in the field of SBPM
  • Features contributions authored and edited by leading international experts in the field
  • Ideal reference for practitioners searching for a concise handbook on using ontologies for business management in real-world applications
  • Includes case studies, lessons learned and best practices

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.

Content Level » Research

Keywords » currentsmp

Related subjects » Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications

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.

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