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An Effective Ontology Matching Technique

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Foundations of Intelligent Systems (ISMIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4994))

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Abstract

In this paper, we study the ontology matching problem and propose an algorithm, which uses as a backbone a multi-level matching technique and performs a neighbor search to find the correspondences between the entities in the given ontologies. A main feature of this algorithm is the high quality of the matches it finds. Besides, as the result of the initial search introduced, our algorithm converges fast, making it comparable to existing techniques.

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References

  1. Alasoud, A., Haarslev, V., Shiri, N.: A Multi Level Matching Algorithm for Combining Similarity Measures in Ontology Integration. In: Collard, M. (ed.) ODBIS 2005/2006. LNCS, vol. 4623, pp. 1–17. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  2. Cohen, W., Ravikumar, P., Fienberg, S.: A Comparison of String Distance Metrics for Name-Matching Tasks. In: IJCAI 2003, pp. 3–78 (2003)

    Google Scholar 

  3. Do, H.H., Melnik, S., Rahm, E.: Comparison of schema matching evaluations. In: Proc. workshop on Web and Databases (2002)

    Google Scholar 

  4. Euzenat, J., Valtchev, P.: Similarity-based ontology alignment in OWL-Lite. In: Proc. 16th European Conference on Artificial Intelligence (ECAI 2004), Valencia, Spain (2004)

    Google Scholar 

  5. Euzenat, J., Mochol, M., Shvaiko, P., Stuckenschmidt, H., Svab, O., Svatek, V., Robert, W., Hage, V., Yatskevich, M.: Results of the ontology alignment evaluation initiative 2006. In: Proc. of ISWC workshop on Ontology Matching, Athens, pp. 73–95 (2006)

    Google Scholar 

  6. Euzenat, J., Isaac, A., Meilicke, C., Shvaiko, P., Stuckenschmidt, H., Šváb, O., Svátek, V., Robert, W., Hage, V., Yatskevich, M.: Results of the ontology alignment evaluation initiative. In: Proc. of the ISWC workshop on Ontology Matching, Busan, Korea (November 2007)

    Google Scholar 

  7. Hu, W., Jian, N.S., Qu, Y.Z., Wang, Y.B.: GMO: A Graph Matching for Ontologies. In: Proc. K-Cap Workshop on Integrating Ontologies, pp. 43–50 (2005)

    Google Scholar 

  8. Hu, W., Cheng, G., Zheng, D., Zhong, X., Qu, Y.: The results of Falcon-AO. In: Proc. Int’l. workshop on Ontology Matching (OM), Athens, Georgia, U.S.A., November 5 (2007)

    Google Scholar 

  9. Li, Y., Li, J., Zhang, D., Tang, J.: Results of ontology alignment with RiMOM. In: Proc. Int’l. workshop on Ontology Matching (OM), Athens, Georgia, U.S.A., November 5 (2007)

    Google Scholar 

  10. Massmann, S., Engmann, D., Rahm, E., Tang, J.: Results of ontology alignment with COMA++. In: Proc. Int’l. workshop on Ontology Matching (OM), U.S.A., November 5 (2006)

    Google Scholar 

  11. Pedersen, T., Patwardhan, S., Michelizzi, J.: WordNet:Similarity – Measuring the Relatedness of Concepts. In: Proceedings of 19th National Conf. on Airtifical Intelegence (AAAI 2004), San Jose, CA, pp. 1024–1025 (July 2004)

    Google Scholar 

  12. Tan, H., Lambrix, P.: A method for recommending ontology alignment strategies. In: Proceedings of the 6th International Semantic Web Conference, Busan, Korea (2007)

    Google Scholar 

  13. http://oaei.ontologymatching.org/2007/benchmarks/

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Aijun An Stan Matwin Zbigniew W. Raś Dominik Ślęzak

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© 2008 Springer-Verlag Berlin Heidelberg

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Alasoud, A., Haarslev, V., Shiri, N. (2008). An Effective Ontology Matching Technique. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science(), vol 4994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68123-6_63

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  • DOI: https://doi.org/10.1007/978-3-540-68123-6_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68122-9

  • Online ISBN: 978-3-540-68123-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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