English  |  正體中文  |  简体中文  |  Items with full text/Total items : 92472/107804 (86%)
Visitors : 19170944      Online Users : 87
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://asiair.asia.edu.tw/ir/handle/310904400/18852

    Title: Capturing Evolutional Knowledge Using Time Interval Tracing
    Authors: 林順傑;Lin, Shun-Chieh;鄧嘉文;Teng, Chia-Wen;曾憲雄;Tseng, Shian-Shyong;*
    Contributors: 資訊多媒體應用學系
    Date: 2007
    Issue Date: 2012-11-26 15:09:39 (UTC+8)
    Abstract: Knowledge acquisition is a critical bottleneck in building a knowledge-based system. Much research and many tools have been developed to acquire domain knowledge with embedded rules that may be ignored in constructing the initial prototype. Due to different backgrounds and dynamic knowledge changing over time, domain knowledge constructed at one time may be degraded at any time thereafter. Here, we propose knowledge acquisition, called enhanced embedded meaning capturing under uncertainty deciding (enhanced EMCUD), which constructs a domain ontology and traces information over time to efficiently update time-related domain knowledge based on the current environment. We enrich the knowledge base and ease the construction of domain knowledge that changes with times and the environment.
    Relation: Journal of Advanced Computational Intelligence & Intelligent Informatics
    Appears in Collections:[行動商務與多媒體應用學系] 期刊論文

    Files in This Item:

    File Description SizeFormat

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

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