• DocumentCode
    145220
  • Title

    Research on Ontology-Based Chinese Semantic Retrieval Model

  • Author

    Qingling Chang ; Yuanchun Zhou ; Shiting Xu ; Jianhui Li ; Baoping Yan

  • Author_Institution
    Univ. of Chinese Acad. of Sci., Beijing, China
  • Volume
    1
  • fYear
    2014
  • fDate
    10-13 March 2014
  • Firstpage
    302
  • Lastpage
    307
  • Abstract
    This paper introduces the Chinese Semantic Retrieval model and the key technology. It initially points out the core idea of mapping natural language to RDF triples. Based on the Language Technology Platform dependency relationship, it classifies the Chinese question. Then, the article outlines the concrete method of mapping Chinese question to SPARQL query with examples. At last, it implements the system and gives the retrieval result, which decreases the irrelevant searching return compared with the tradition information retrieval method based on keyword matching.
  • Keywords
    natural language processing; ontologies (artificial intelligence); pattern matching; query processing; Chinese question; RDF triples; SPARQL query; information retrieval method; keyword matching; language technology platform dependency relationship; natural language mapping; ontology-based Chinese semantic retrieval model; Grammar; Information retrieval; Natural languages; Ontologies; Resource description framework; Semantics; Syntactics; classification; dependency relationship; mapping rule; semantic retrieval; sparql;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/CSCI.2014.59
  • Filename
    6822126