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Applications for Business Process Repositories Based on Semantic Standardization

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2012 Workshops (OTM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7567))

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Abstract

In recent years, researchers have become increasingly interested in developing frameworks and tools for the generation, customization and utilization of business process model content. One of the enabling central techniques for automated repository standardization is Natural Language Processing (NLP). This work reviews previous works on NLP standardization, and presents a set of derived Business Process Management (BPM) applications. We then discuss how these applications can be extended and improved for better utilization of the process repositories by (1) deploying a larger set of semantic models; and (2) integrating complementing applications.

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Author information

Authors and Affiliations

  1. ProcessGene Ltd, USA

    Maya Lincoln

  2. University of Haifa, Israel

    Avi Wasser

Authors
  1. Maya Lincoln
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  2. Avi Wasser
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Editor information

Editors and Affiliations

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

    Pilar Herrero

  2. Research Centre for Automatic Control, School of Engineering in Information Technology, University of Lorraine, CNRS, Campus scientifique, BP 70239, 54506, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. Department of Computer Science, Semantic Technology and Application Research Laboratory (STARLab), Vrije Universiteit Brussel, Building G-10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  4. La Trobe University, Melbourne, VIC, Australia

    Tharam Dillon

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Lincoln, M., Wasser, A. (2012). Applications for Business Process Repositories Based on Semantic Standardization. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_26

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  • DOI: https://doi.org/10.1007/978-3-642-33618-8_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33617-1

  • Online ISBN: 978-3-642-33618-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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