SENTINEL: a semantic business process monitoring tool

  • Authors:
  • Carlos Pedrinaci;Dave Lambert;Branimir Wetzstein;Tammo van Lessen;Luchesar Cekov;Marin Dimitrov

  • Affiliations:
  • The Open University, Milton Keynes, United Kingdom;The Open University, Milton Keynes, United Kingdom;University of Stuttgart, Stuttgart, Germany;University of Stuttgart, Stuttgart, Germany;Office Express IT Center, Sofia, Bulgaria;Office Express IT Center, Sofia, Bulgaria

  • Venue:
  • OBI '08 Proceedings of the first international workshop on Ontology-supported business intelligence
  • Year:
  • 2008

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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.