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ABSTRACT
Description Logics (DLs) play a key role in the design of ontologies. An ontology is a formal description of important concepts in a particular domain. In practice, a set of a specific-domain applications use different representations of the same real world entity due to various viewpoints, context, and specific interest. In this paper, we are interested in the problem of representing an ontology in a heterogeneous domain by taking into consideration different viewpoints and different terminologies of various users, groups or even communities in the organisation. This type of ontology, called multi-viewpoints ontology, confers to the same universe of discourse, several partial descriptions, where each one is relative to a particular viewpoint. Moreover, these partial descriptions share at global level, fuzzy ontological elements allowing the representation of vague/imprecise knowledge between the various viewpoints. So, our goal is to propose a fuzzy multi-viewpoints ontology Web language, which is an extension of OWL-DL language, to allow the multi-viewpoints ontologies representation.
- Rodríguez, N. D., Cuéllar, M. P., Lilius, J., & Calvo-Flores, M. D. (2014). A fuzzy ontology for semantic modelling and recognition of human behaviour. Knowledge-Based Systems, 66, 46--60. Google ScholarDigital Library
- Straccia, U. (2013). Foundations of Fuzzy Logic and Semantic Web Languages. CRC Press. Google ScholarDigital Library
- Pérez, I. J., Wikström, R., Mezei, J., Carlsson, C., & Herrera-Viedma, E. (2013). A new consensus model for group decision making using fuzzy ontology. Soft Computing, 17(9), 1617--1627. Google ScholarDigital Library
- Hemam, M. (2018). "An extension of the ontology web language with multi-viewpoints and probabilistic reasoning". Int. Journal of Advanced Intelligence Paradigms, Inderscience Publishers Ltd. (In press) Google ScholarDigital Library
- Antoniou, G. and Harmelen, F.V. (2004) Web Ontology Language: OWL, Presented at Handbook on Ontologies, pp.67--92.Google ScholarCross Ref
- Sirin, E., Parsia, B., Cuenca Grau, B., Kalyanpur, A., and Katz, Y. (2006). Pellet: A practical OWL-DL reasoner. In Journal of Web Semantics 5 (2), 51--53. Google ScholarDigital Library
- Tsarkov, D., and Horrocks, I. (2006). FaCT++ description logic reasoner: System description. in Proceedings of the Third International Joint Conference on Automated Reasoning, Vol. 4130 of Lecture Notes in Computer Science, 292 -297. Google ScholarDigital Library
- Hemam, M., Djezzar, M., and Boufaida, Z., (2017). Multi-viewpoint Ontological Representation of Composite Concepts: a Description Logics Based Approach. Int. Journal of Intelligent Information and Database Systems, Inderscience Publishers Ltd, 10( 1/2), 51--68. Google ScholarDigital Library
- Balley, S., Parent C., Spaccapieta S., (2004): Modeling Geographic Data with Multiple Representations. In journal Geographical Information science. 18, (4), 327--352.Google Scholar
- Benchikha, F., Boufaida, M., (2007): The Viewpoint Mechanism for Object-oriented Databases Modelling, Distribution and Evolution; Journal of Computing and Information Technology - CIT 15, 2007, 2, 95--110,Google Scholar
- Benslimane, D., Arara, A., Falquet, G., Maamar, Z., Thiran, P., Gargouri, F., (2006): Contextual Ontologies: Motivations, Challenges, and Solutions. In Fourth Biennial International Conference on Advances in Information Systems (Springer). Google ScholarDigital Library
- Lynda Djakhdjakha, L., Hemam, M. and Boufaida, Z. (2014). Towards a Representation for Multi-Viewpoints Ontology Alignments". Int Journal of Metadata, Semantics and Ontologies, Inderscience Publishers Ltd, Vol. 9, N° 2, pp. 91--102. Google ScholarDigital Library
- Zadeh, L.A. (1965) Fuzzy sets. Information and Control, Vol. 8 No. 3, pp. 338--353.Google ScholarDigital Library
- Sanchez, D. and Tettamanzi, A. (2006) Fuzzy quantification in fuzzy description logics, in Sanchez, E. (Ed.): Fuzzy Logic and the Semantic Web, Capturing Intelligence.Google ScholarCross Ref
- Stoilos, G. and Stamou, G. (2007) Extending fuzzy description logics for the semantic web, in Proceedings of the 3rd International Workshop on OWL: Experiences and Directions.Google Scholar
- Bobillo, F. and Straccia, U. (2011) Fuzzy ontology representation using OWL 2. in International Journal of Approximate Reasoning, Vol. 52(7), 1073--1094. Google ScholarDigital Library
- Kaufmann, A. (1975) Theory of fuzzy subsets. Academic Press, London.Google Scholar
Index Terms
- Multi-Viewpoints Ontological Knowledge Representation: A Fuzzy Description Logics Based Approach
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