• DocumentCode
    1587596
  • Title

    Study of agricultural search engine based on FAO agrovoc ontology and google API

  • Author

    Yunpeng, Cui ; Peng, Tang ; Shihong, Liu ; Sufen, Sun

  • Author_Institution
    Key Lab. of Digital Agric. Early-warning Technol., Minist. of Agric., Beijing, China
  • fYear
    2010
  • Firstpage
    439
  • Lastpage
    444
  • Abstract
    This paper introduces an application developed with FAO Agrovoc ontology and Google AJAX API. FAO Agrovoc ontology is not only an agricultural concepts collection but also the relationships among the concepts, Google API can be used to submit keywords to Google search engine and get the retrieval results from Google, the combination of these two things can help users in agriculture field find information they want to search better and navigate the knowledge in some degree.
  • Keywords
    agricultural engineering; application program interfaces; information retrieval; ontologies (artificial intelligence); search engines; Agrovoc ontology; FAO; Google API; agricultural search engine; information retrieval; Agriculture; Computers; Google; Navigation; Ontologies; Search engines; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665350
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1587596