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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/9004


    Title: An Intelligent Semantic Agent for e-Learning Message Communication
    Authors: Ying-Hong Wang;Chih-Hao Lin
    Keywords: distance learning;semantic checker;FAQ;agent;link grammar;ontology
    Date: 2004
    Issue Date: 2010-04-21 10:55:48 (UTC+8)
    Abstract: This paper presents an English chat room system in which students can discuss
    course contents by interacting with teachers and students. First, the novel mechanism
    provides Learning_Angel Agent and Semantic Agent that act as supervisors that constantly
    handle queries online. Next, the mechanism provides a QA subsystem that acts as
    an assistant. The Learning_Angel Agent can detect syntax errors made by online users.
    The Semantic Agent can check the semantic meaning of each sentence. Sometimes,
    learners make semantic level mistakes. This implies that they do not understand the
    course topic or some particular issue. The semantic agent can, thus, give some suggestions
    for corrections to the users and analyze the data in the learner corpus. Moreover,
    when users query the system or other online users, this system will attempt to find answers
    from the knowledge ontology or learner corpus that is stored in the records of previous
    users’ comments. Furthermore, if enough QA pairs can be accumulated, the FAQ
    can act as a powerful learning tool for learners.
    Relation: Journal of Information Science and Engineering 21(5) : 1031-1051
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

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