A text mining approach to integrating business process models and governing documents

  • Authors:

  • Jon Espen Ingvaldsen;Jon Atle Gulla;Xiaomeng Su;Harald Rønneberg

  • Affiliations:

  • Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway;Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway;Department of Computer and Information Science, Norwegian University of Science and Technology, Trondheim, Norway;Statoil ASA, Stavanger, Norway

  • Venue:
  • OTM'05 Proceedings of the 2005 OTM Confederated international conference on On the Move to Meaningful Internet Systems
  • Year:
  • 2005

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Abstract

As large companies are building up their enterprise architecture solutions, they need to relate business process descriptions to lengthy and formally structured documents of corporate policies and standards. However, these documents are usually not specific to particular tasks or processes, and the user is left to read through a substantial amount of irrelevant text to find the few fragments that are relevant to him. In this paper, we describe a text mining approach to establishing links between business process model elements and relevant parts of governing documents in Statoil, one of Norway’s largest companies. The approach builds on standard IR techniques, gives us a ranked list of text fragments for each business process activity, and can easily be integrated with Statoil’s enterprise architecture solution. With these ranked lists at hand, users can easily find the most relevant sections to read before carrying out their activities.