• DocumentCode
    3424248
  • Title

    Ontology based digital library search model research

  • Author

    Guo, Lifan ; Zhou, Yigang

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Drexel Univ., Philadelphia, PA, USA
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    184
  • Lastpage
    187
  • Abstract
    Ontologies, as sets of concepts and their interrelations in a specific domain, have proven to be a useful tool in the areas of digital libraries, semantic web, and the like. But large-scale analysis of ontology usage is constrained primarily in specific domain, like medical, scholarly artifact, biosciences, where knowledge presentation is structured and easier to understand. The application of ontologies in the domain of humanities, especially history, however, is rare since the extraction from knowledge of history is hard. In the current paper, we introduce an ontology based visualization model to integrate ontology in historical knowledge searching. Particularly, this period of history is related with Kuomintang and Early Communist Periods of China. The objective is assisting knowledge representation and knowledge inference for the purpose of knowledge management.
  • Keywords
    digital libraries; knowledge representation; ontologies (artificial intelligence); digital library search model research; historical knowledge searching; knowledge inference; knowledge management; knowledge representation; ontologies; visualization model; Educational institutions; Hidden Markov models; History; Information retrieval; Knowledge management; Ontologies; Search methods; Semantic Web; Software libraries; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255134
  • Filename
    5255134