• DocumentCode
    3774098
  • Title

    Painting Semantic Retrieval Algorithm Research Based on Ontology

  • Author

    Li Qiang

  • Author_Institution
    Yancheng Teachers Coll. in Jiangsu Province, Yancheng, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    Semantic retrieve as one of the development direction of the intelligent information retrieve technology occupies extremely important position in intelligent information retrieve field. Aiming at the disadvantage of the traditional retrieve system based on the key matching, a new model of the semantic retrieve based on the Ontology is proposed in this paper. In order to test the performance of the semantic retrieval model, this paper does experiments by comparing this model with traditional model. The result of experiment shows that the semantic model is better than traditional model. It has important reference value in the process of implementing semantic retrieve system in other fields.
  • Keywords
    "Semantics","Ontologies","Resource description framework","Information retrieval","Computational modeling","OWL"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICICTA.2015.158
  • Filename
    7473374