Capturing Evolutional Knowledge using Time Interval Tracing

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 期刊論文 > Item 987654321/59879

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题名:	Capturing Evolutional Knowledge using Time Interval Tracing
作者:	林順傑;Lin, Shun-chieh;Teng, Chia-wen;Tseng, Shian-shyong
贡献者:	淡江大學資訊工程學系
关键词:	expert system;knowledge acquisition;EMCUD;VODKA;grid evolution
日期:	2007-04-01
上传时间:	2011-10-05 22:23:38 (UTC+8)
摘要:	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.
關聯:	Journal of Advanced Computational Intelligence & Intelligent Informatics 11(4), pp.373-380
DOI:	10.20965/jaciii.2007.p0373
显示于类别:	[資訊工程學系暨研究所] 期刊論文

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