• DocumentCode
    2867094
  • Title

    Ontology-Based Metadata Model for Agriculture E-Commerce Knowledge Management

  • Author

    Fu, Zetian ; Yue, Jun ; Lin, Dongmei ; Liu, Xue

  • Author_Institution
    China Agric. Univ., Beijing
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    616
  • Lastpage
    617
  • Abstract
    Knowledge representation and organization takes an important role in an e-learning system. In this paper, we put forward a metadata model for agriculture e-commerce knowledge management on the base of our investigation. The metadata model contains three classes which are personnel information class, agriculture e-commerce knowledge class and agriculture e-commerce domain class. Furthermore, we also gave the subclasses of these three classes. Then these three classes and their subclasses are integrated together through the description of their relationships. Finally the metadata model is formalized by resource description framework. And the metadata model is proven to be useful in our knowledge searching system.
  • Keywords
    agriculture; electronic commerce; meta data; ontologies (artificial intelligence); agriculture e-commerce domain class; agriculture e-commerce knowledge class; agriculture e-commerce knowledge management; e-learning system; knowledge organization; knowledge representation; knowledge searching system; metadata model; ontology-based metadata model; personnel information class; resource description framework; Agriculture; Educational institutions; Electronic commerce; Electronic learning; Humans; Knowledge management; Knowledge representation; Ontologies; Personnel; Resource description framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, Third International Conference on
  • Conference_Location
    Shan Xi
  • Print_ISBN
    0-7695-3007-9
  • Electronic_ISBN
    978-0-7695-3007-9
  • Type

    conf

  • DOI
    10.1109/SKG.2007.139
  • Filename
    4438649