Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2012
Genre:	EDV / Informatik
	Computers - General Information / COMPUTERS / Databases / Data Mining / COMPUTERS / Electronic Commerce (see also headings under BUSINESS & ECONOMICS / E-Commerce) D99 / COMPUTERS / Information Technology / Digital- und Informationstechnologien# allgemeine Themen / Unternehmenssoftware
ISBN:	9780387798738
EAN-Code:	9780387798738
Verlag:	Springer London
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 235 mm / B 178 mm / D
Seiten:	300
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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. TOC: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.