• DocumentCode
    2336872
  • Title

    Description Ontologies

  • Author

    Oro, Ermelinda ; Ruffolo, Massimo

  • Author_Institution
    DEIS, Univ. of Calabria, Rende
  • fYear
    2008
  • fDate
    13-16 Nov. 2008
  • Firstpage
    369
  • Lastpage
    374
  • Abstract
    Semantic annotation and information extraction are of paramount importance in the field of unstructured information management. Although several sophisticated and indeed complex approaches were proposed, they still have many limitations. In this paper we present a novel ontological paradigm called description ontology in which objects and classes (concepts) can be equipped by a set of rules named concept descriptors. These rules represent patterns that express how to automatically recognize ontology concepts within unstructured documents. A description ontology allows the semantic extraction of information from unstructured document which, in turn, can be stored in structured forms. Moreover, document contents can also be annotated with respect to the recognized concepts.
  • Keywords
    information retrieval; ontologies (artificial intelligence); vocabulary; concept descriptors; description ontologies; information extraction; semantic annotation; semantic extraction; Data mining; Engines; Information management; Natural languages; Object oriented modeling; Object oriented programming; Ontologies; Pattern recognition; Proposals; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management, 2008. ICDIM 2008. Third International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-2916-5
  • Electronic_ISBN
    978-1-4244-2917-2
  • Type

    conf

  • DOI
    10.1109/ICDIM.2008.4746710
  • Filename
    4746710