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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yaguinuma, C. Santos, M.T.P. Camargo, H.A. Nicoletti, M.C. Nogueira, T.M. |
| Copyright Year | 2012 |
| Description | Author affiliation: Institute of Mathematics and Computer Sciences, University of São Paulo (USP), São Carlos, Brazil (Nogueira, T.M.) || Department of Computer Science, Federal University of São Carlos (UFSCar), SP, Brazil (Yaguinuma, C.; Santos, M.T.P.; Camargo, H.A.; Nicoletti, M.C.) |
| Abstract | Ontologies have been employed in applications that require semantic information representation and processing. However, traditional ontologies are not suitable to express fuzzy or vague information, which often occurs in human vocabulary as well as in several application domains. To deal with this limitation, concepts from the Fuzzy Set Theory can be incorporated into ontologies making it possible to represent and reason over fuzzy or vague knowledge. In this context, this paper proposes Fuzz-Onto, a meta-ontology for representing fuzzy ontologies which, so far, models fuzzy concepts, fuzzy relationships and fuzzy properties. In particular, the representation of fuzzy properties and linguistic terms makes it possible to combine fuzzy modeling in ontologies with existing fuzzy rule-based classification methods. The paper also presents a case study in the knowledge domain of scientific documents as an instantiation of the modeling-inference articulation. |
| Starting Page | 166 |
| Ending Page | 171 |
| File Size | 162655 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467351171 |
| ISSN | 21647143 |
| e-ISBN | 9781467351195 |
| DOI | 10.1109/ISDA.2012.6416531 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-11-27 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge Representation OWL Abstracts Ontologies Fuzzy Ontology Cognition Proposals Fuzzy Rule-Based Reasoning Classification methods Fuzzy reasoning Pragmatics |
| Content Type | Text |
| Resource Type | Article |
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