Title: reasoning and change management in modular fuzzy ontologies
Author: Jiang Yuncheng
; Tang Yong
; Chen Qimai
; Wang Ju
Keyword: Data description
; Formal languages
; Modular construction
Source: Expert Systems with Applications
Issued Date: 2011
Volume: 38, Issue: 11, Pages: 13975-13986 Indexed Type: ei
Department: (1) School of Computer Science, South China Normal University, Guangzhou 510631, China; (2) State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (3) School of Computer Science and Information Technology, Guangxi Normal University, Guilin 541004, China
English Abstract: The growing emphasis on complexity concerns for ontologies has attracted significant interest from both the researcher's and the practitioner's communities in modularization techniques as a way to decrease the complexity of managing huge ontologies. On the other hand, it has been widely pointed out that classical ontologies are not appropriate to deal with imprecise and vague knowledge, which is inherent to several real world domains. In order to handle these types of knowledge, some fuzzy extensions of classical ontologies are presented, yielding fuzzy ontologies. In this paper, we integrate modular ontologies with fuzzy ontologies, i.e.; the notion of modular fuzzy ontologies is presented. Furthermore, we present an infrastructure for the representation of and reasoning with modular fuzzy ontologies based on distributed fuzzy description logics. © 2011 Elsevier Ltd. All rights reserved. Language: 英语
WOS ID: WOS:000294084700053
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Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/14009
Appears in Collections: 软件所图书馆_期刊论文
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Recommended Citation:
Jiang Yuncheng,Tang Yong,Chen Qimai,et al. reasoning and change management in modular fuzzy ontologies[J]. Expert Systems with Applications,2011-01-01,38(11):13975-13986.
