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representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies
Jiang Yuncheng ; Tang Yong ; Wang Ju ; Tang Suqin
刊名EXPERT SYSTEMS WITH APPLICATIONS
2010
卷号37期号:8页码:6052-6060
关键词Knowledge representation and reasoning Context-aware systems Fuzzy ontologies Distributed ontologies Description logics
ISSN号0957-4174
学科主题Computer Science ; Artificial Intelligence; Engineering ; Electrical & Electronic; Operations Research & Management Science
公开日期2011-05-24
附注Most of current knowledge based systems manage impressive amounts of information (especially distributed fuzzy information). In addition to widely pointed-out integration and maintenance difficulties, other common problem is overwhelming of users with much more information than the strictly necessary for fulfilling a task. This issue has been pointed out with the name of "information overload". Use of context knowledge has been envisioned as an appropriate solution to deal with this information overload matter. In this paper, we present a distributed fuzzy context-domain relevance (DFCDR) model for representation in fuzzy ontologies relevance relations between fuzzy context ontology and distributed fuzzy domain ontologies. In fact, the DFCDR model is a distributed fuzzy extension of the context-domain relevance (CDR) model. (C) 2010 Elsevier Ltd. All rights reserved.
内容类型期刊论文
源URL[http://124.16.136.157/handle/311060/10137]  
专题软件研究所_计算机科学国家重点实验室 _期刊论文
推荐引用方式
GB/T 7714
Jiang Yuncheng,Tang Yong,Wang Ju,et al. representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies[J]. EXPERT SYSTEMS WITH APPLICATIONS,2010,37(8):6052-6060.
APA Jiang Yuncheng,Tang Yong,Wang Ju,&Tang Suqin.(2010).representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies.EXPERT SYSTEMS WITH APPLICATIONS,37(8),6052-6060.
MLA Jiang Yuncheng,et al."representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies".EXPERT SYSTEMS WITH APPLICATIONS 37.8(2010):6052-6060.
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