• DocumentCode
    3108929
  • Title

    Ontology-Based Information Extraction Technology

  • Author

    Wu, Di ; Wu, Lanlan ; Sun, Tieli ; Jiang, Yingjie ; Yang, Fengqin

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Technol., Northeast Normal Univ., Changchun, China
  • fYear
    2011
  • fDate
    16-18 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The performance of information extraction can be effectively improved through use of ontology. Based on the discussion of constructing ontology technology and standards related to, on the basis of three layers framework to constructing ontology to resume ontology, university teachers Racer reasoning machine to implement consistency and accuracy testing. Based on this improved the WordNet similarity calculation, through the use of WordNet semantic similarity calculation and manually collecting method of combining the concept of this body, obtain the specific examples, the result proves that the result can be extracted remarkably enhanced.
  • Keywords
    information retrieval; ontologies (artificial intelligence); Racer reasoning machine; WordNet semantic similarity calculation; ontology technology; ontology-based information extraction technology; Cognition; Data mining; Logic gates; OWL; Ontologies; Semantics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Applications (iTAP), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7253-6
  • Type

    conf

  • DOI
    10.1109/ITAP.2011.6006445
  • Filename
    6006445