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New Ontological Alignment System Based on a Non-monotonic Description Logic

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New Trends in Databases and Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 241))

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Abstract

The choice of the representation formalism of the knowledge manipulated on the Web thanks to the ontologies is a crucial point which can conditioned their use. We must be capable of assuring a maximum of expressiveness in the definition of ontologies’ concepts and relations by taking into account the normal context aspect and the exception one. The second very important point is the simultaneous use of several ontologies in a purpose of sharing information. This use became possible thanks to the ontology alignment. It is based on the syntactic, semantic and structural similarities of the different input ontologies. To write the ontology concepts, we propose in this work, a non-monotonic description logic whose semantics is algebraic-based. Then, based on this representation formalism, we show how to improve the measure used to compute the structural similarity.

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References

  1. Shvaiko, P., Euzenat, J.: Ontology matching: state of the art and future challenges. IEEE Transactions on Knowledge and Data Engineering 25(1), 158–176 (2013)

    Article  Google Scholar 

  2. Hussain, M.M., Srivatsa, S.K.: A Study of Different Ontology Matching Systems. International Journal of Computer Applications (0975-8887) 37(12) (January 2012)

    Google Scholar 

  3. Noy, N.F., Musen, M.A.: Algorithm and Tool for Automated Ontology Merging and Alignment. In: Proc. of the 17th National Conference on A.I (AAAI 2000), Austin, Texas, USA, pp. 450–455 (2000)

    Google Scholar 

  4. Noy, N., Musen, M.A.: Using Non-Local Context for Semantic Matching. In: Proc. of the Workshop on Ontologies and Information Sharing at the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, pp. 334–350 (2001)

    Google Scholar 

  5. Do, H.-H., Melnik, S., Rahm, E.: Comparison of Schema Matching Evaluations. In: Chaudhri, A.B., Jeckle, M., Rahm, E., Unland, R. (eds.) NODe-WS 2002. LNCS, vol. 2593, pp. 221–237. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  6. Guebaili_Djider, R., Akli_ Astouati, K., Bellili, A., Lacheheb, H.: Cooperative agents for ontology alignment. In: Proceeding of 6th International Conference on Intelligent Interactive Multimedia Systems and Services KES-IIMSS, Sesimba, Portugal, June 26-28 (2013)

    Google Scholar 

  7. Guebaili_Djider, R., Mokhtari, A., Boustia, N.: OWL δ ε Non Monotonic Ontological Web Language. In: Proc. of 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2012, San Sebastian, Spain, September 10-12 (2012)

    Google Scholar 

  8. Guebaili_Djider, R., Mokhtari, A., Boustia, N., Nouioua, F., Akli, K.: A formal language for ontology alignment. In: Proceeding of 5th International Conference on Web and Information Technologie, ICWIT 2013, Tunisia, May 9-12 (2013)

    Google Scholar 

  9. Boustia, N., Mokhtari, A.: A dynamic access control model. IN Applied Intelligence Journal 36(1), 190–207 (2012)

    Article  Google Scholar 

  10. Coupey, F., Fouquere, C.: Extending conceptual definitions with default knowledge. Comput Intell. 13(2), 258–299 (1997)

    Article  MathSciNet  Google Scholar 

  11. Hoehndorf, R., Loebe, F., Kelso, J., Herre, H.: Representing default knowledge in biomedical ontologies: application to the integration of anatomy and phenotype ontologies. BMC Bioinformatics (2007)

    Google Scholar 

  12. Grimm, S., Motik, B.: Closed World Reasoning in the Semantic Web through Epistemic Operators. In: OWLED 2005, Galway, Ireland (2005)

    Google Scholar 

  13. Wiech, P.B.: Distributed Default Reasoning in the Semantic Web. InPhD Thesis, Warsaw University of Technology (2011)

    Google Scholar 

  14. Baader, F., McGuiness, D., Nardi, D., Schneider, P.: The description logic handbook: theory, implementation and applications. Cambridge University Press, Cambridge (2008)

    Google Scholar 

  15. Reiter, R.: A logic for default reasoning. Artificial Intelligence 13(1-2), 81–132 (1980)

    Article  MathSciNet  MATH  Google Scholar 

  16. Denecker, M., Marek, V.W., Truczynsky, M.: Uniform semantic treatment of default and autoepistemic logics. Artificial Intelligence 143(1), 79–122 (2003)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Ratiba Guebaili-Djider .

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Guebaili-Djider, R., Mokhtari, A., Nouioua, F., Boustia, N., Akli Astouati, K. (2014). New Ontological Alignment System Based on a Non-monotonic Description Logic. In: Catania, B., et al. New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-01863-8_2

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  • DOI: https://doi.org/10.1007/978-3-319-01863-8_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01862-1

  • Online ISBN: 978-3-319-01863-8

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