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Semi-automated Vocabulary Building for Structured Legal English

  • Conference paper
Rules on the Web. From Theory to Applications (RuleML 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8620))

Abstract

Structured English has been applied as computational independent language for defining business vocabularies and business rules, e.g., in the context of OMG’s Semantics and Business Vocabulary Representation (SBVR). It allows non-technical domain experts to engineer knowledge in natural language, but with an underlying semi-formal semantics which eases the automation of machine transformation into formal knowledge representations and logic-based machine interpretation. We adapt this approach to the legal domain in order to support legal domain experts in their task to build legal vocabularies and legal rules in Structured English from legal texts. In this paper we contribute with a semi-automated vocabulary and rule development process which is supported by automated suggestions of legal concepts computed by a semantic legal text analysis. We implement a proof-of-concept in the KR4IPLaw tool, which enables legal domain experts to represent their knowledge in Structured English. We evaluate the proposed approach on the basis of use cases in the domain of IP and patent law.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Freie Universität Berlin, Königin-Luise-Str. 24-26, 14195, Berlin, Germany

    Shashishekar Ramakrishna & Adrian Paschke

Authors
  1. Shashishekar Ramakrishna
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  2. Adrian Paschke
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Editor information

Editors and Affiliations

  1. Department of Information Studies, University College London, Gower Street, WC1E 6BT, London, UK

    Antonis Bikakis

  2. Department of Computer Science, Stony Brook University, 11794, Stony Brook, NY, USA

    Paul Fodor

  3. SINTEF, University of Oslo, Forskningsveien 1, 0314, Oslo, Norway

    Dumitru Roman

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Ramakrishna, S., Paschke, A. (2014). Semi-automated Vocabulary Building for Structured Legal English. In: Bikakis, A., Fodor, P., Roman, D. (eds) Rules on the Web. From Theory to Applications. RuleML 2014. Lecture Notes in Computer Science, vol 8620. Springer, Cham. https://doi.org/10.1007/978-3-319-09870-8_15

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  • DOI: https://doi.org/10.1007/978-3-319-09870-8_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09869-2

  • Online ISBN: 978-3-319-09870-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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