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Towards Fuzzy Ontology Handling Vagueness of Natural Languages

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Rough Sets and Knowledge Technology (RSKT 2006)

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Abstract

At the moment ontology-based applications do not provide a solution to handle vague information. Recently, some tentatives have been made to integrate fuzzy set theory in ontology domain. This paper presents an approach to handle the nuances of natural languages (i.e. adjectives, adverbs) in the fuzzy ontologies context. On the one hand, we handle query-processing to evaluate vague information. On the other hand, we manage the knowledge domain extending ontology properties with quality concepts.

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References

  1. Berners-Lee, T., Hendler, T., Lassila, J.: The semantic web. Scientific American 284(5), 34–43 (2001)

    Article  Google Scholar 

  2. Soo, V.W., Lin, C.Y.: Ontology-based information retrieval in a multi-agent system for digital library. In: 6th Conference on Artificial Intelligence and Applications, pp. 241–246 (2001)

    Google Scholar 

  3. Gruber, T.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)

    Article  Google Scholar 

  4. Guarino, N., Giaretta, P.: Ontologies and Knowledge Bases: Towards a Terminological Clarification. In: Towards Very Large Knowledge Bases: Knowledge Building and Knowledge Sharing, pp. 25–32. IOS Press, Amsterdam (1995)

    Google Scholar 

  5. Zadeh, L.A.: Fuzzy sets. Information. and Control 8, 338–353 (1965)

    Article  MATH  MathSciNet  Google Scholar 

  6. Parry, D.: A fuzzy ontology for medical document retrieval. In: Proceedings of The Australian Workshop on DataMining and Web Intelligence (DMWI2004), Dunedin, pp. 121–126 (2004)

    Google Scholar 

  7. Chang-Shing, L., Zhi-Wei, J., Lin-Kai, H.: A fuzzy ontology and its application to news summarization. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 5, 859–880 (2005)

    Google Scholar 

  8. Calegari, S., Ciucci, D.: Integrating fuzzy logic in ontologies. In: ICIES conference (accepted, 2006)

    Google Scholar 

  9. AA.VV.: Karlsruhe ontology and semantic web tool suite (kaon) (2005), http://kaon.semanticweb.org

  10. Singh, S., Dey, L., Abulaish, M.: A Framework for Extending Fuzzy Description Logic to Ontology based Document Processing. In: Favela, J., Menasalvas, E., Chávez, E. (eds.) AWIC 2004. LNCS (LNAI), vol. 3034, Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  11. Abulaish, M., Dey, L.: Ontology Based Fuzzy Deductive System to Handle Imprecise Knowledge. In: Mai, C. (ed.) Proceedings of the 4th International Conference on Intelligent Technologies (InTech 2003), pp. 271–278 (2003)

    Google Scholar 

  12. Höldobler, S., Dinh Khang, T., Stör, H.-P.: A fuzzy description logic with hedges as concept modifiers. In: Hoang Phuong, N., Nguyen, H.T., Cat Ho, N., Santiprabhob, P. (eds.) VJFuzzy 2002, pp. 25–34. InTech, Science and Technics Publishing House (2002)

    Google Scholar 

  13. Zadeh, L.A.: Fuzzy Logic. IEEE Computer 21(4), 83–93 (1988)

    Google Scholar 

  14. Klement, E.P., Mesiar, R., Pap, E.: Triangular N orms. Kluwer Academic, Dordrecht (2000)

    MATH  Google Scholar 

  15. Abney, S.: Partial parsing via finite-state cascades. In: Workshop on Robust Parsing, 8th European Summer School in Logic, Language and Information, Prague, Czech Republic, pp. 8–15 (1996)

    Google Scholar 

  16. Abney, S.: Parsing by chunks. In: Berwick, R., Abney, S., Tenny, C. (eds.) Principle-Based Parsing, Kluwer Academic Publishers, Dordrecht (1991)

    Google Scholar 

  17. Shieber, S.M., van Noord, G., Pereira, F.C.N., Moore, R.C.: Semantic head-driven generation. Computational Linguistics 16(1), 30–42 (1990)

    Google Scholar 

  18. Hendrix, G., Sacerdoti, E., Sagalowicz, D., Slocum, J.: Developing a natural language interface to complex data. ACM Trasactions on Database Systems 3(2), 105–147 (1978)

    Article  Google Scholar 

  19. Johnson, M.: Features and formulae. Comp. Ling. 17(2), 131–153 (1991)

    Google Scholar 

  20. Partee, B., ter Meulen, A., Wall, R.: Mathematical Methods in Linguistics. Kluwer Academic Press, Boston (1993)

    Google Scholar 

  21. Straccia, U.: Reasoning within fuzzy description logics. Journal of Artifical Intelligence Researches 14, 137–166 (2001)

    MATH  MathSciNet  Google Scholar 

  22. Lee, C.C.: Fuzzy logic in control systems: Fuzzy logic controller. IEEE Transactions on Systems, Man and Cybernetics 20(2), 419–435, 404–418 (1990)

    Article  MATH  Google Scholar 

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Bandini, S., Calegari, S., Radaelli, P. (2006). Towards Fuzzy Ontology Handling Vagueness of Natural Languages. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_101

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  • DOI: https://doi.org/10.1007/11795131_101

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36297-5

  • Online ISBN: 978-3-540-36299-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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