• DocumentCode
    2683337
  • Title

    Building RDF Ontologies from Semi-Structured Legal Documents

  • Author

    Amato, Flora ; Mazzeo, Antonino ; Penta, Antonio ; Picariello, Antonio

  • Author_Institution
    Dipt. di Inf. e Sist., Univ. di Napoli "Federico II", Naples
  • fYear
    2008
  • fDate
    4-7 March 2008
  • Firstpage
    997
  • Lastpage
    1002
  • Abstract
    The increasing interest in the context of e-government requires intelligent techniques for legal information and knowledge management. In this paper we describe a system that, given a number of legal paper documents, automatically transforms them into suitable RDF statements, using several ontological and linguistic knowledge levels. Although we describe a general methodology for a number of application domains, our system is particularly suitable for the notary realm.
  • Keywords
    document handling; government data processing; knowledge management; law administration; ontologies (artificial intelligence); RDF ontologies; e-government; intelligent techniques; knowledge management; linguistic knowledge levels; semistructured legal documents; Buildings; Competitive intelligence; Electronic government; Information management; Intelligent structures; Knowledge management; Law; Legal factors; Ontologies; Resource description framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex, Intelligent and Software Intensive Systems, 2008. CISIS 2008. International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-0-7695-3109-0
  • Type

    conf

  • DOI
    10.1109/CISIS.2008.146
  • Filename
    4606800