• DocumentCode
    2757026
  • Title

    Research on Sharing and Aggregating of Web Learning Materials Based on GRDDL and Topic-Oriented Crawler

  • Author

    Yong, Liu ; Yongguo, Han ; Yong, Jiang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Southwest Univ. of Sci. & Technol., Mianyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    25-26 July 2009
  • Firstpage
    460
  • Lastpage
    463
  • Abstract
    Reusability, sharability, and interoperability are the main research subjects of modern learning systems. A lot of e-learning standards, such as LOM, IMS, SCORM, AICC etc., have provided us many flexible reference solutions for achieving these goals. In order to construct a more flexible framework to share and reuse Web learning materials between CBT vendors, LMSs, and learners, this paper defined a uniformed structure -learning asset (LA)-to integrate material and its metadata in a single media, proposed a two-stage metadata gleaning mechanism based on GRDDL and topic-oriented crawler to provide a flexible and high-performance searching of LA-specified metadata, figured a framework for sharing, reusing and aggregating learning content with semantic reasoning.
  • Keywords
    Internet; computer based training; open systems; search engines; CBT vendor; GRDDL; LA-specified metadata; LMS; Web learning material aggregating; Web learning material sharing; computer-based training; e-learning standard; interoperability; learning asset; learning management system; reusability; semantic reasoning; topic-oriented crawler; two-stage metadata gleaning mechanism; Computer science; Crawlers; Electronic learning; Information technology; Internet; Learning systems; Management training; Materials science and technology; Packaging; Web pages; GRDDL; Learning Material; Sharing and Aggregation; Topic-Oriented Crawler;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-0-7695-3688-0
  • Type

    conf

  • DOI
    10.1109/ITCS.2009.100
  • Filename
    5190111