• DocumentCode
    3513415
  • Title

    The Research on Ontology-Driven Semantic Retrieval of Enterprise Data

  • Author

    Shao, Yuanzheng ; Li, Lelin ; Du, Zhenhong ; QI, Qiang

  • Author_Institution
    State Key Lab. of Inf. Eng. in Surveying Mapping & Remote Sensing, Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    1-3 Nov. 2008
  • Firstpage
    729
  • Lastpage
    732
  • Abstract
    Because of ignoring the semantic information inside the keywords, the traditional searching engine based on the key words has low recall and precision. Aiming at this, some semantic retrieval system design ideas and the retrieval process are proposed in this paper.The key technologies-related in semantic retrieval model are analyzed and studied. By using field ontology, semantic research procedure for different types of enterprise data is proposed and implemented. Different types of enterprise data for the semantic reunification process can be presented and achieved in the system based on field ontology. It is believed that the problems about enterprise knowledge integration and retrieval could be solved in some manner according to the experimental results.
  • Keywords
    information retrieval; ontologies (artificial intelligence); enterprise data; ontology-driven semantic retrieval; search engine; semantic reunification process; Application software; Content based retrieval; Content management; Data engineering; Information retrieval; Intelligent networks; Intelligent systems; Ontologies; Relational databases; Remote sensing; ontology; retrieval; semantic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3391-9
  • Electronic_ISBN
    978-0-7695-3391-9
  • Type

    conf

  • DOI
    10.1109/ICINIS.2008.134
  • Filename
    4683328