• DocumentCode
    2830497
  • Title

    Using NLP and Ontologies for Notary Document Management Systems

  • 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
    1-5 Sept. 2008
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    In this paper we describe the use of NLP techniques and ontologies as the core for building novel e-gov based information systems, and in particular we define the main characteristics of a document management system in the legal domain, that manages a variety of paper documents, automatically transforming them into RDF statements, for suitable indexing, retrieval and long term preservation. Although we describe a general architecture that can be used for several application domains, our system is particularly suitable for the Italian notary realm.
  • Keywords
    document handling; government data processing; law administration; natural language processing; ontologies (artificial intelligence); RDF statements; e-gov based information systems; legal domain; natural language processing; notary document management systems; ontologies; Buildings; Conference management; Databases; Expert systems; Information management; Information retrieval; Law; Legal factors; Ontologies; Resource description framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3299-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2008.86
  • Filename
    4624693