Integrated Access to Legal Literature through Automated Semantic Classification (Articolo in rivista)

Type
Label
  • Integrated Access to Legal Literature through Automated Semantic Classification (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/s10506-008-9072-6 (literal)
Alternative label
  • Peruginelli G., Francesconi E. (2009)
    Integrated Access to Legal Literature through Automated Semantic Classification
    in Artificial intelligence and law (Dordr., Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Peruginelli G., Francesconi E. (literal)
Pagina inizio
  • 31 (literal)
Pagina fine
  • 49 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.springerlink.com/content/c94002w1020n4784 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 17 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • fasc. 1 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 19 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 1 (literal)
Note
  • DBLP (literal)
  • Citulike (literal)
  • Microsoft Academic Search (literal)
  • The Collection of Computer Science Bibliography (literal)
  • SpringerLink (literal)
  • ACM DL (literal)
  • Scopus (literal)
  • BibSonomy (literal)
  • Google Scholar (literal)
  • ULRICH'S INTERNATIONAL PERIODICALS DIRECTORY (U.S.A.) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Teoria e Tecniche dell'Informazione Giuridica, Consiglio Nazionale delle Ricerche (literal)
Titolo
  • Integrated Access to Legal Literature through Automated Semantic Classification (literal)
Abstract
  • Access to legal information and, in particular, to legal literature is examined for the creation of a search and retrieval system for Italian legal literature. The design and implementation of services such as integrated access to a wide range of resources are described, with a particular focus on the importance of exploiting metadata assigned to disparate legal material. The integration of structured repositories and Web documents is the main purpose of the system: it is constructed on the basis of a federation system with service provider functions, aiming at creating a centralized index of legal resources. The index is based on a uniform metadata view created for structured data by means of the OAI approach and for Web documents by a machine learning approach, which, in this paper, has been assessed as regards document classification. Semantic searching is a major requirement for legal literature users and a solution based on the exploitation of Dublin Core metadata, as well as the use of legal ontologies and related terms prepared for accessing indexed articles (literal)
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