A Text Mining Approach to Integrating Business Process Models and Governing Documents

Jon Espen Ingvaldsen, Jon Altle Gulla, X. Su, Harald Rønneberg

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    9 Citations (Scopus)


    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.
    Original languageUndefined
    Title of host publicationOn the Move to Meaningful Internet Systems (OTM) Workshop
    EditorsRobert Meersman, Zahir Tari, Pilar Herrero
    Place of PublicationBerlin/Heidelberg, Germany
    Number of pages12
    ISBN (Print)978-3-540-29739-0
    Publication statusPublished - Oct 2005
    EventOn the Move to Meaningful Internet Systems, OTM 2005: Prooceedings of OTM 2005 - Agia Napa, Cyprus
    Duration: 31 Oct 20054 Nov 2005

    Publication series

    NameLecture Notes in Computer Science
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


    ConferenceOn the Move to Meaningful Internet Systems, OTM 2005
    Abbreviated titleOTM 2005
    CityAgia Napa


    • EWI-10445
    • IR-61788
    • METIS-226781

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