• DocumentCode
    2715284
  • Title

    Research on Agricultural Information Retrieve Based on Neural Networks and Ontology

  • Author

    Wenqing, Zhang ; Yuan, Li ; Yong, Liao

  • Author_Institution
    Sch. of Literature & Media Transm., Shijiazhuang Univ., Shijiazhuang, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    242
  • Lastpage
    245
  • Abstract
    In order to effectively achieve acquisition and sharing of agricultural science knowledge under the open environment, and improve the intelligence of system, the neural network and ontology technology are used to improve the current agricultural information retrieval system, neural network technology is used for collection of agricultural information, the ontology technology is used to integrate a variety of heterogeneous agricultural knowledge. The practice has proved that the improved agricultural information retrieve system has greatly improved the accuracy and reliability of retrieve, and realized intelligence and high accuracy of agricultural information retrieve.
  • Keywords
    agricultural engineering; information retrieval; knowledge acquisition; knowledge management; neural nets; ontologies (artificial intelligence); reliability; agricultural information retrieval system; agricultural science knowledge acquisition; agricultural science knowledge sharing; heterogeneous agricultural knowledge integration; neural networks; ontology technology; open environment; reliability improvement; system intelligence improvement; Agriculture; Cognition; Knowledge based systems; Ontologies; Semantics; agricultural information; neural networks; ontology; retrieve;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.68
  • Filename
    6394288