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    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

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