Artikel in Tagungsband INPROC-2008-100

Bibliograph.
Daten
Pedrinaci, Carlos; Lambert, Dave; Wetzstein, Branimir; van Lessen, Tammo; Cekov, Luchesar; Dimitrov, Marin: SENTINEL: a semantic business process monitoring tool.
In: Duke, Alistair (Hrsg); Hepp, Martin (Hrsg); Bontcheva, Kalina (Hrsg); Vilain, Marc B. (Hrsg): Proceedings of the First International Workshop on Ontology-supported Business Intelligence, OBI 2008, Karlsruhe, Germany, October 27, 2008.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
ACM International Conference Proceeding Series; 308, S. 1-12, englisch.
Association for Computing Machinery (ACM), 27. Oktober 2008.
ISBN: 978-1-60558-219-1.
Artikel in Tagungsband (Workshop-Beitrag).
CR-Klassif.D.2.8 (Software Engineering Metrics)
D.2.9 (Software Engineering Management)
H.4.1 (Office Automation)
I.2.4 (Knowledge Representation Formalisms and Methods)
KeywordsBusiness Activity Monitoring; Business Process Analysis; Semantic Business Process Management
Kurzfassung

Business Activity Monitoring (BAM) aims to support the real-time analysis of business processes in order to improve the speed and effectiveness of business operations. Providing a timely, integrated high-level view on the evolution and well-being of business activities within enterprises constitutes a highly valuable analytical tool for monitoring, managing and hopefully enhancing businesses. However, the degree of automation currently achieved cannot support the level of reactivity and adaptation demanded by businesses. We argue that the fundamental problem is that moving between the business level and the IT level is insufficiently automated and suggest an extensive use of semantic technologies as a solution. In particular, we present SENTINEL a Semantic Business Process Monitoring tool that advances the state of the art in BAM by making extensive use of semantic technologies in order to support the integration and derivation of business level knowledge out of low-level audit trails generated by IT systems.

Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)SUPER
Eingabedatum13. Dezember 2008
   Publ. Institut   Publ. Informatik