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Legal expert system KONTERM — Automatic representation of document structure and contents

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Book cover Database and Expert Systems Applications (DEXA 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 720))

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Abstract

Our legal expert system KONTERM contains a selective thesaurus and a knowledge base for the automatic representation of the structure and the contents of the document. The thesaurus takes into account the necessary degree of formalism of legal language and therefore overcomes the untidiness of natural language and represents automatically the expert knowledge of a lawyer about legal terminology. The required selectivity of the individual descriptors is achieved by distinguishing between precise legal terms and words with fuzzy meanings as well as by detecting hidden word senses. This thesaurus, together with the expert rules for structuring the document, provides the user with an analytical document representation. In addition to that, hypertext links will be supplemented in order to offer the lawyer a convenient tool for efficient information retrieval.

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Author information

Authors and Affiliations

  1. Institute of Public International Law and International Relations, University of Vienna, Austria

    Erich Schweighofer

  2. Institute of Applied Computer Science and Information Systems, University of Vienna, Austria

    Werner Winiwarter

Authors
  1. Erich Schweighofer
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  2. Werner Winiwarter
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Editor information

Vladimír Mařík Jiří Lažanský Roland R. Wagner

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© 1993 Springer-Verlag Berlin Heidelberg

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Schweighofer, E., Winiwarter, W. (1993). Legal expert system KONTERM — Automatic representation of document structure and contents. In: Mařík, V., Lažanský, J., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 1993. Lecture Notes in Computer Science, vol 720. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57234-1_49

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  • DOI: https://doi.org/10.1007/3-540-57234-1_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57234-3

  • Online ISBN: 978-3-540-47982-6

  • eBook Packages: Springer Book Archive

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