• DocumentCode
    1811394
  • Title

    Study on food safety semantic retrieval system based on domain ontology

  • Author

    Yang, Yuehua ; Du, Junping ; Liang, Meiyu

  • Author_Institution
    Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    15-17 Sept. 2011
  • Firstpage
    40
  • Lastpage
    44
  • Abstract
    From aspects of domain ontology construction, concept similarity computation based on ontology and semantic query expansion study the related technologies of information retrieval system based on ontology; establish food safety domain ontology and ontology-based concept similarity computation model, put forward a new semantic query expansion method based on concept similarity computation; design and implement food safety semantic retrieval system. The experiments show that this food safety semantic retrieval system is superior to the retrieval system based on keywords both in the recall ratio and the precision, and realize certain intelligent retrieval.
  • Keywords
    food safety; ontologies (artificial intelligence); query processing; domain ontology; food safety semantic retrieval system; information retrieval system; intelligent retrieval; semantic query expansion; similarity computation; Certification; Computational modeling; Information retrieval; Knowledge based systems; Ontologies; Safety; Semantics; concept similarity; domain ontology; food safety; query expansion; semantic retrieval;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-61284-203-5
  • Type

    conf

  • DOI
    10.1109/CCIS.2011.6045028
  • Filename
    6045028