• DocumentCode
    2265498
  • Title

    Research on Ontology Knowledge Retrieval to The expert Consultation of Greenhouse

  • Author

    Shao, Limin ; Zhang, Shuguang ; Suo, Xuesong ; Xiao, Zhigang

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Agric. Univ. of Hebei, Baoding
  • fYear
    2006
  • fDate
    27-30 Nov. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Considering the produce and management system, ontology knowledge retrieval and SMS short message were applied to the expert consultation equipment of greenhouse, in order to increase the crop production, lesson the influence of the plant diseases and insect pests. The flaw of traditional retrieval method was conquered, such as the knowledge comprehension capability. Thus, the precision and the recall were both pledged. The greenhouse domain ontology was set up, by the combination of semantic retrieval and keyword retrieval, farmers can communicate with expert directly. The disadvantage of lacking instructional expert was solved, and the expensive measuring and controlling system for greenhouse was replaced.
  • Keywords
    crops; electronic messaging; greenhouses; information retrieval; ontologies (artificial intelligence); SMS; crop production; expert consultation equipment; greenhouse; greenhouse domain ontology; insect pest; keyword retrieval; ontology knowledge retrieval; plant disease; semantic retrieval; traditional retrieval method; Chromium; Communication system control; Costs; Diseases; GSM; Insects; Message service; Ontologies; Production systems; Telecommunication standards; Ontology; SMS; expert consultation; greenhouse;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology, 2006. ICCT '06. International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    1-4244-0800-8
  • Electronic_ISBN
    1-4244-0801-6
  • Type

    conf

  • DOI
    10.1109/ICCT.2006.341955
  • Filename
    4146556