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Reasoning and change management in modular fuzzy ontologies

Authors :
Jiang, Yuncheng
Tang, Yong
Chen, Qimai
Wang, Ju
Source :
Expert Systems with Applications. Oct2011, Vol. 38 Issue 11, p13975-13986. 12p.
Publication Year :
2011

Abstract

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
09574174
Volume :
38
Issue :
11
Database :
Academic Search Index
Journal :
Expert Systems with Applications
Publication Type :
Academic Journal
Accession number :
62269974
Full Text :
https://doi.org/10.1016/j.eswa.2011.04.205