Workshop Paper: SENTINEL: a semantic business process monitoring tool

Bibliography

Carlos Pedrinaci, Dave Lambert, Branimir Wetzstein, Tammo van Lessen, Luchesar Cekov & Marin Dimitrov: “SENTINEL: a semantic business process monitoring tool”, in Proceedings of the First International Workshop on Ontology-supported Business Intelligence, OBI 2008, Karlsruhe, Germany, October 27, 2008, 2008, vol. 308, 1–12.

Keywords: Business Activity Monitoring; Business Process Analysis; Semantic Business Process Management

Abstract

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.

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BibTeX

@inproceedings{INPROC-2008-100,
  author = {Pedrinaci, Carlos and Lambert, Dave and Wetzstein, Branimir and van Lessen, Tammo and Cekov, Luchesar and Dimitrov, Marin},
  title = {SENTINEL: a semantic business process monitoring tool},
  booktitle = {Proceedings of the First International Workshop on Ontology-supported Business Intelligence, OBI 2008, Karlsruhe, Germany, October 27, 2008},
  editor = {Duke, Alistair and Hepp, Martin and Bontcheva, Kalina and Vilain, Marc B.},
  publisher = {Association for Computing Machinery (ACM)},
  institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
  series = {ACM International Conference Proceeding Series},
  volume = {308},
  pages = {1–12},
  etype = {Workshop Paper},
  month = {oct},
  year = {2008},
  isbn = {978-1-60558-219-1},
  keywords = {Business Activity Monitoring; Business Process Analysis; Semantic Business Process Management},
  language = {English},
  cr-category = {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},
  department = {University of Stuttgart, Institute of Architecture of Application Systems},
  abstract = {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.},
  url = {http://www.taval.de/publications/INPROC-2008-100}
}