• DocumentCode
    537582
  • Title

    Research and Implementation of Chinese Patent Information Gathering System Based on Domain Ontology

  • Author

    Wu Hong ; Li Yuping

  • Author_Institution
    Inst. of Sci. & Tech. Inf., Shandong Univ. of Technol., Zibo, China
  • Volume
    1
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    237
  • Lastpage
    241
  • Abstract
    Traditional information gathering systems are mostly keyword-based that are lack of semantic comprehension and analysis ability and can´t guarantee the comprehensiveness and accuracy of information gathering. This paper proposes Chinese patent information gathering model based on domain ontology, which can visualize ontology concept semantic map related to user gathering requirements on the information gathering interface. Users can select more related and professional domain concept to user gathering subjects from ontology concept semantic map, the system may automatically carry out semantic inference and extension to the selected domain concept, and form the normative expansive semantic gathering expression to gather patent information from the related web pages. In order to verify feasibility and effectiveness of the model, this paper selects clothing domain, develops Chinese clothing domain ontology, implements the patent information gathering system based on clothing domain ontology. Experiment results show that the model can greatly improve the comprehensiveness and accuracy of information gathering.
  • Keywords
    Web sites; clothing; inference mechanisms; information retrieval; information retrieval systems; ontologies (artificial intelligence); patents; semantic networks; user interfaces; Chinese clothing domain ontology; Chinese patent information gathering system; Web pages; analysis ability; information gathering accuracy; information gathering comprehensiveness; information gathering interface; keyword-based information gathering system; normative expansive semantic gathering expression; professional domain concept; selected domain concept; semantic comprehension; semantic inference; user gathering requirements; user gathering subjects; visualize ontology concept semantic map; domain ontology; information gathering; model; ontology construction; patent; semantic expansion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information Systems and Mining (WISM), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8438-6
  • Type

    conf

  • DOI
    10.1109/WISM.2010.64
  • Filename
    5662318