• DocumentCode
    2933458
  • Title

    Syntactico-Semantic Interpretation of Natural Language Queries on a Medical Ontology

  • Author

    Chouaib, B. ; Zizette, B.

  • Author_Institution
    LIRE Lab., Mentouri Univ., Constantine, Algeria
  • fYear
    2012
  • fDate
    10-12 Nov. 2012
  • Firstpage
    71
  • Lastpage
    77
  • Abstract
    Nowadays, one of crucial problems of the Semantic Web is to offer a simple and convenient access to knowledge bases and ontologies. Advances in semantic search have been delayed because of the complexity of nRQL like query languages, as well as the ambiguities of the Natural Language (NL). To go beyond these difficulties, we propose an approach that aims to support mechanisms and techniques for analyzing and processing a natural language query. As result, we obtain an intermediate representation in description logics, easy to be interpreted in any query language oriented information retrieval, as nRQL. This system is composed of four basic modules that provide a sequential processing of the query expressed in NL until the expected results.
  • Keywords
    medical information systems; natural language processing; ontologies (artificial intelligence); query languages; query processing; semantic Web; NL query processing; description logics; intermediate representation; knowledge bases; medical ontology; nRQL; natural language query processing; query language oriented information retrieval; semantic Web; semantic search; sequential query processing; support mechanisms; support techniques; syntactico-semantic interpretation; Conferences; Information systems; Natural Language Processing(NLP); description logics; medical ontology; nRQL language; semantic search;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Systems for Enterprises (IWAISE), 2012 Second International Workshop on
  • Conference_Location
    Constantine
  • Print_ISBN
    978-1-4673-4791-4
  • Type

    conf

  • DOI
    10.1109/IWAISE.2012.17
  • Filename
    6410102