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Semantic Indexing of Legal Documents

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Semantic Processing of Legal Texts

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6036))

Abstract

Automated semantic indexing may be the answer to insufficient recall of legal information systems. The semantic web has created powerful tools for mark-up and ontological representation. Re-use in legal applications remains low due to inappropriate knowledge structuring and lack of automated knowledge acquisition. This paper describes the state of the art and proposes a dynamic electronic legal commentary.

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Author information

Authors and Affiliations

  1. Centre for Computers and Law, DEICL/AVR, Faculty of Law, University of Vienna, Schottenbastei 10-16/2/5, 1010, Wien, Austria

    Erich Schweighofer

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  1. Erich Schweighofer
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Editor information

Editors and Affiliations

  1. Institute of Legal Information, Theory and Techniques, ITTIG-CNR, Via dei Barucci 20, 50127, Florence, Italy

    Enrico Francesconi  & Daniela Tiscornia  & 

  2. Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC) - CNR, Area della Ricerca di Pisa,, Via Moruzzi 1, 56124, Pisa, Italy

    Simonetta Montemagni

  3. Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello Street, S1 4DP, Sheffield, UK

    Wim Peters

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Schweighofer, E. (2010). Semantic Indexing of Legal Documents. In: Francesconi, E., Montemagni, S., Peters, W., Tiscornia, D. (eds) Semantic Processing of Legal Texts. Lecture Notes in Computer Science(), vol 6036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12837-0_9

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  • DOI: https://doi.org/10.1007/978-3-642-12837-0_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12836-3

  • Online ISBN: 978-3-642-12837-0

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