Mapping Fuzzy Concepts Between Fuzzy Ontologies

Xu, Bin; Kang, Dong-Wook; Lu, Jianquan; Li, Yanhui; Jiang, Jixiang

doi:10.1007/11553939_29

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…In addition, some researchers pointed out fuzzy DLs would contribute to ontology mapping (Xu et al ., 2005; Nováček & Smrž, 2006; Ferrara et al ., 2008). Ferrara et al .…”

Section: Applicationsmentioning

confidence: 99%

“…In Xu et al . (2005), the fuzzy DLs were used to resolve the mapping problem of fuzzy concepts between fuzzy ontologies.…”

Section: Applicationsmentioning

confidence: 99%

“…M A E T A L . 2001, Simou et al (2008aSimou et al ( , 2008b, Straccia and Visco (2007), Straccia (2010), Singh et al (2004) and Stoilos et al (2005d) Sanchez andYamanoi (2006), Stoilos et al (2005cStoilos et al ( , 2010Stoilos et al ( , 2006c, Gao and Liu (2005), Calegari and Ciucci (2007) and Bobillo and Straccia (2009c) f-SWRL: Pan et al (2006a), ; f-NSWRL: Wang et al (2009c); f-if-then: Agarwal and Hitzler (2005); f-SW-if-then-RL: Wang et al (2009b) Straccia (2006c, 2004b, Venetis et al (2007) and Zhao and Boley (2008) Lukasiewicz 2006and Straccia (2007a, 2007b) Medicine: Tresp (2000), D'Aquin et al (2006) and Schlobach et al (2007) Ontology mpping: Nova´cˇek and Smrzˇ(2006), Ferrara et al (2008) and Xu et al (2005) Electronic market: Ragone et al (2008aRagone et al ( , 2008bRagone et al ( , 2008cRagone et al ( , 2007 and Agarwal and Lamparter (2005) Data modeling: Zhang et al (2008Zhang et al ( , 2009 Semantic Web portals: Zhang et al (2005) Semantic search engines: Li et al (200...…”

Section: Fuzzy Extensions Of the Semantic Web Languagesmentioning

confidence: 99%

“…In addition, some researchers pointed out fuzzy DLs would contribute to ontology mapping (Xu et al, 2005;Nova´cˇek & Smrzˇ, 2006;Ferrara et al, 2008). Ferrara et al (2008) discussed the application of the fuzzy DLs theories to the problem of ontology mapping validation as a different way of handling mapping uncertainty with respect to probabilistic approaches.…”

Section: Some Particular Applications Of Fuzzy Description Logicsmentioning

confidence: 99%

“…Ferrara et al (2008) discussed the application of the fuzzy DLs theories to the problem of ontology mapping validation as a different way of handling mapping uncertainty with respect to probabilistic approaches. In Xu et al (2005), the fuzzy DLs were used to resolve the mapping problem of fuzzy concepts between fuzzy ontologies. Also, some researchers have shown that fuzzy DLs are very useful in other applications.…”

Section: Some Particular Applications Of Fuzzy Description Logicsmentioning

confidence: 99%

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An overview of fuzzy Description Logics for the Semantic Web

Zhang

Wang

et al. 2012

The Knowledge Engineering Review

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Information imprecision and uncertainty exist in many real world applications, and such information would be retrieved, processed, shared, reused, and aligned in the maximum automatic way possible. As a popular family of formally well-founded and decidable knowledge representation languages, fuzzy Description Logics (fuzzy DLs), which extend DLs with fuzzy logic, are very well suited to cover for representing and reasoning with imprecision and uncertainty. Thus, a requirement naturally arises in many practical applications of knowledge-based systems, in particular the Semantic Web, because DLs are the logical foundation of the Semantic Web. Currently, there have been lots of fuzzy extensions of DLs with Zadeh's fuzzy logic theory papers published, to investigate fuzzy DLs and more importantly serve as identifying the direction of fuzzy DLs study. In this paper, we aim at providing a comprehensive literature overview of fuzzy DLs, and we focus our attention on fuzzy extensions of DLs based on fuzzy set theory. Other relevant formalisms that are based on approaches like probabilistic theory or non-monotonic logics are covered elsewhere. In detail, we first introduce the existing fuzzy DLs (including the syntax, semantics, knowledge base, and reasoning algorithm) from the origin, development (from weaker to stronger in expressive power), some special techniques, and so on. Then, the other important issues on fuzzy DLs, such as reasoning, querying, applications, and directions for future research, are also discussed in detail. Also, we make a comparison and analysis.

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“…In addition, some researchers pointed out fuzzy DLs would contribute to ontology mapping (Xu et al ., 2005; Nováček & Smrž, 2006; Ferrara et al ., 2008). Ferrara et al .…”

Section: Applicationsmentioning

confidence: 99%

“…In Xu et al . (2005), the fuzzy DLs were used to resolve the mapping problem of fuzzy concepts between fuzzy ontologies.…”

Section: Applicationsmentioning

confidence: 99%

Section: Fuzzy Extensions Of the Semantic Web Languagesmentioning

confidence: 99%

Section: Some Particular Applications Of Fuzzy Description Logicsmentioning

confidence: 99%

Section: Some Particular Applications Of Fuzzy Description Logicsmentioning

confidence: 99%

See 3 more Smart Citations

An overview of fuzzy Description Logics for the Semantic Web

Zhang

Wang

et al. 2012

The Knowledge Engineering Review

View full text Add to dashboard Cite

show abstract

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge

Todorov¹,

Hudelot²,

Geibel³

2014

Uncertainty Reasoning for the Semantic Web III

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Measuring Concept Similarity between Fuzzy Ontologies

Wang

Zhang

Lai

2009

Advances in Intelligent and Soft Computing

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Abstract. Ontologies now play an important role for many knowledge-intensive applications for which they provide a way to describe and structure the information on the web. Fuzzy ontologies extend the representation ability of traditional ontologies to handle fuzzy concepts. However, heterogeneity between ontologies still need to be solve, as current ontology mapping technologies are not sufficient for fuzzy ontologies. For the task of detecting and retrieving relevant ontologies, this paper proposes an approach to measure concept similarity between fuzzy ontologies. It applies the fuzzy sets to represent fuzzy concepts, and evaluates the concept similarity by their common characters of linguistics, fuzzy set, superconcepts, sub-concepts, instances and properties.

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Mapping Fuzzy Concepts Between Fuzzy Ontologies

Cited by 10 publications

References 5 publications

An overview of fuzzy Description Logics for the Semantic Web

An overview of fuzzy Description Logics for the Semantic Web

Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge

Measuring Concept Similarity between Fuzzy Ontologies

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