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Developing SBVR Vocabularies and Business Rules from OWL2 Ontologies

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Information and Software Technologies (ICIST 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 403))

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Abstract

Semantics of Business Vocabulary and Business Rules (SBVR) is OMG adopted metamodel allowing defining noun concepts, verb concepts and business rules of a problem domain in structured natural language based on formal logics. SBVR business vocabulary and business rules are capable of representing ontologies. There are some research works devoted to transforming SBVR into Web Ontology Language OWL2. The reverse way of representing ontology concepts with SBVR structured language was not investigated though there are much more ontologies than SBVR vocabularies. Our research is concentrated on methodology for creating SBVR vocabularies and rules from OWL2 ontologies without a loss of the expressive power, characteristic for ontologies, as some ontology-specific concepts have no direct representation in SBVR. The particular attention is devoted to applying SBVR vocabulary in semantic search.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Kaunas University of Technology, Studentu 50, Kaunas, Lithuania

    Gintare Bernotaityte, Lina Nemuraite, Rita Butkiene & Bronius Paradauskas

Authors
  1. Gintare Bernotaityte
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  2. Lina Nemuraite
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  3. Rita Butkiene
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  4. Bronius Paradauskas
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Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-313a, 51368, Kaunas, Lithuania

    Tomas Skersys

  2. Centre of Information Systems Design Technologies, Kaunas University of Technology, Studentu st. 50-313a, 51368, Kaunas, Lithuania

    Rimantas Butleris

  3. Kaunas University of Technology, Studentu g. 50-309a, 51368, Kaunas, Lithuania

    Rita Butkiene

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Bernotaityte, G., Nemuraite, L., Butkiene, R., Paradauskas, B. (2013). Developing SBVR Vocabularies and Business Rules from OWL2 Ontologies. In: Skersys, T., Butleris, R., Butkiene, R. (eds) Information and Software Technologies. ICIST 2013. Communications in Computer and Information Science, vol 403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41947-8_13

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  • DOI: https://doi.org/10.1007/978-3-642-41947-8_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41946-1

  • Online ISBN: 978-3-642-41947-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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