Abstract
Ontology mapping is to find semantic correspondences between similar elements of different ontologies. It is critical to achieve semantic interoperability in the WWW. This paper proposes a new generic and scalable ontology mapping approach based on propagation theory, information retrieval technique and artificial intelligence model. The approach utilizes both linguistic and structural information, measures the similarity of different elements of ontologies in a vector space model, and deals with constraints using the interactive activation network. The results of pilot study, the PRIOR, are promising and scalable.
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Doan, A., Madhaven, J., et al.: Learning to Match Ontologies on the Semantic Web. VLDB Journal 12(4), 303–319 (2003)
Dou, D., McDermott, D., et al.: Ontology Translation on the Semantic Web. Journal on Data Semantics (JoDS) II, 35–57
Ehrig, M.: Ontology Alignment: Bridging the Semantic Gap (Semantic Web and Beyond). Springer (2006) ISBN-038732805X
Euzenat, J., Bach, T., et al.: State of the art on ontology alignment, Knowledge web NoE (2004)
Euzenat, J., et al.: Results of the Ontology Alignment Evaluation Initiative 2006. In: Cruz, I., Decker, S., Allemang, D., Preist, C., Schwabe, D., Mika, P., Uschold, M., Aroyo, L. (eds.) ISWC 2006. LNCS, vol. 4273, Springer, Heidelberg (2006)
Felzenszwalb, P.F., Huttenlocher, D.P.: Efficient belief propagation for early vision. International Journal of Computer Vision 70(1) (2006)
Gasevic, D., Hatala, M.: Ontology mappings to improve learning resource search. British Journal of Educational Technology (2005)
Hovy, E.: Combining and standardizing large-scale, practical ontologies for machine translation and other uses. In: Proceedings of the 1st International Conference on Language Resources and Evaluation (LREC), Granada, Spain (1998)
Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. The Knowledge Engineering Review 18(1), 1–31 (2003)
Mao, M., Peng, Y.: PRIOR System: Results for OAEI 2006. In: Proceedings of ISWC 2006 Ontology Matching Workshop, Atlanta, GA (2006)
Mao, M., Peng, Y., Spring, M.: A Profile Propagation and Information Retrieval Based Ontology Mapping Approach. In: Proceedings of SKG 2007 (2007)
Melnik, S., Garcia-Molina, H., et al.: Similarity flooding: a versatile graph matching algorithm and its application to schema matching. In: ICDE 2002. Proc. 18th International Conference on Data Engineering (2002)
McClelland, J.L., Rumelhart, D.E.: Explorations in Parallel Distributed Processing: A Handbook of Models, Programs, and Exercises. MIT Press, Cambridge (1988)
Noy, N.: Semantic Integration: A Survey of Ontology-Based Approaches. SIGMOD Record 33(4), 65–70 (2004)
Qu, Y., Hu, W., Cheng, G.: Constructing virtual documents for ontology matching. In: Proceedings of the 15th International Conference on World Wide Web (2006)
Tsang, E.: Foundations of Constraint Satisfaction: Academic Press (1993)
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Mao, M. (2007). Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach. In: Aberer, K., et al. The Semantic Web. ISWC ASWC 2007 2007. Lecture Notes in Computer Science, vol 4825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76298-0_72
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DOI: https://doi.org/10.1007/978-3-540-76298-0_72
Publisher Name: Springer, Berlin, Heidelberg
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