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OTM Confederated International Conferences "On the Move to Meaningful Internet Systems"

OTM 2010: On the Move to Meaningful Internet Systems: OTM 2010 pp 60–77Cite as

Fast Business Process Similarity Search with Feature-Based Similarity Estimation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6426))

Abstract

Nowadays, business process management plays an important role in the management of organizations. More and more organizations describe their operations as business processes, and the intra- and inter-organizational interactions between operations as services. It is common for organizations to have collections of hundreds or even thousands of business processes. Consequently, techniques are required to quickly find relevant business process models in such a collection. Currently, techniques exist that can rank all business process models in a collection based on their similarity to a query business process model. However, those techniques compare the query model with each model in the collection in terms of graph structure, which is inefficient and computationally complex. Therefore, this paper presents a technique to make this more efficient. The technique selects small characteristic model fragments, called features, which are used to efficiently estimate model similarities and classify them as relevant, irrelevant or potentially relevant to a query model. Only potentially relevant models must be compared using the existing techniques. Experiments show that this helps to retrieve similar models at least 3.5 times faster without impacting the quality of the results; and 5.5 times faster if a quality reduction of 1% is acceptable.

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Author information

Authors and Affiliations

  1. Eindhoven University of Technology, P.O. Box 513, NL-5600, MB, Eindhoven, The Netherlands

    Zhiqiang Yan, Remco Dijkman & Paul Grefen

Authors
  1. Zhiqiang Yan
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  2. Remco Dijkman
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  3. Paul Grefen
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Editor information

Editors and Affiliations

  1. STAR Lab, Vrije Universiteit Brussel (VUB), Bldg G/10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  2. Curtin University of Technology, DEBII - CBS, De Laeter Way, Bentley, 6102, WA, Australia

    Tharam Dillon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, 28660, Boadilla del Monte, Madrid, Spain

    Pilar Herrero

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Yan, Z., Dijkman, R., Grefen, P. (2010). Fast Business Process Similarity Search with Feature-Based Similarity Estimation. In: Meersman, R., Dillon, T., Herrero, P. (eds) On the Move to Meaningful Internet Systems: OTM 2010. OTM 2010. Lecture Notes in Computer Science, vol 6426. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16934-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-16934-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16933-5

  • Online ISBN: 978-3-642-16934-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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