• DocumentCode
    3576306
  • Title

    Ontology-Based Integration and Sharing of Big Data Educational Resources

  • Author

    Jing Xiong ; Yuntong Liu ; Wei Liu

  • Author_Institution
    Sch. of Comput. & Inf. Eng., Anyang Normal Univ., Anyang, China
  • fYear
    2014
  • Firstpage
    245
  • Lastpage
    248
  • Abstract
    In the era of big data, massive educational resources are stored on the internet and mobile networks. However, most of these resources are heterogeneous and decentralized, they have different format. The resources are designed for humans to read and not understandable to the machine. Their low level sharing and reuse make them difficult to acquire. How to access the resources the users need quickly and efficiently and take advantage of them is a serious problem. In order to solve the problem, an ontology-based integration educational resources framework and sharing strategies are proposed. Using the advantages of ontological semantics these educational resources can be annotated semantically, so that the computer can understand and deal with the marked information. The ontology-based integration and sharing strategies can improve the recall and precision of the educational resources retrieval.
  • Keywords
    Big Data; Internet; educational computing; information resources; mobile computing; ontologies (artificial intelligence); big data educational resources; educational resources retrieval precision improvement; educational resources retrieval recall improvement; internet networks; mobile networks; ontological semantics; ontology-based integration strategy; ontology-based sharing strategy; Big data; Cognition; Educational institutions; Electronic learning; Ontologies; Semantics; big data; educational resources; information retrieval; ontology; semantic integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information System and Application Conference (WISA), 2014 11th
  • Print_ISBN
    978-1-4799-5726-2
  • Type

    conf

  • DOI
    10.1109/WISA.2014.51
  • Filename
    7058020