English  |  正體中文  |  简体中文  |  Items with full text/Total items : 21921/27947 (78%)
Visitors : 4216430      Online Users : 351
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/22600


    Title: Fuzzy folksonomy-based index creation for e-Learning content retrieval on cloud computing environments
    Authors: Shih W.-C., Yang C.-T., Tseng S.-S.
    Keywords: Cloud computing , Folksonomy , Fuzzy Sets , Information retrieval , e-Learning
    Date: 2011
    Issue Date: 2013-05-21T09:11:51Z (UTC)
    Abstract: Due to the trend of individualization and adaptation of e-Learning, more and more SCORM-compliant teaching materials are developed by institutes and individuals in different sites. Also, cloud computing environments are emerging as powerful infrastructures to support e-Learning applications. Therefore, how to rapidly retrieve SCORM-compliant documents on cloud computing environments has become an important issue. Creating an index from folksonomies has been investigated in previous researches; however, the involved uncertainty has not been addressed. This paper focuses on the fuzzy index creation problem for learning content retrieval. A bottom-up approach to constructing the fuzzy index is proposed. The index creation method has been implemented, and a synthetic learning object repository has been built on a Hadoop cloud platform to evaluate the proposed approach. Experimental results show that this method can increase precision of retrieval.
    Relation: IEEE International Conference on Fuzzy Systems, p.965-970
    Appears in Collections:[資訊工程學系所] 會議論文

    Files in This Item:

    File SizeFormat
    2-3.pdf477KbAdobe PDF299View/Open


    All items in THUIR are protected by copyright, with all rights reserved.


    本網站之東海大學機構典藏數位內容,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback