Abstract
We combine the Semantic Web with the Web, as background knowledge, to provide a more balanced solution for Ontology Mapping. The Semantic Web can provide mappings that are missed by the Web, which can provide many more, but noisy, mappings. We present a combined technique that is based on variations of existing approaches. Our experimental results in two real-life thesauri are compared with previous work, and they reveal that a combined approach to Ontology Mapping can provide more balanced results in terms of precision, recall and confidence measure of mappings. We also discover that a reduced set of 3 appropriate Hearst patterns can eliminate noise in the list of discovered mappings, and thus techniques based exclusively in the Web can be improved. Finally, we also identify open questions derived from building a combined approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hearst, M.: Automatic Acquisition of Hyponyms from Large Text Corpora. Proceedings of the 14th International Conference on Computational Linguistics (1992)
Bergamaschi, S., Castano, S., Vincini, M.: Semantic integration of semistructured and structured data sources. SIGMOD Record 28(1), 54–59 (1999)
Madhavan, J., Bernstein, P., Rahm, E.: Generic schema matching with Cupid. In: VLDB. Proceedings of the Very Large Data Bases Conference, pp. 49–58 (2001)
Rahm, E., Bernstein, P.: A survey of approaches to automatic schema matching. The International Journal on Very Large Data Bases (VLDB) 10(4), 334–350 (2001)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Hendler, J.A.: Agents and the Semantic Web. IEEE Intelligent Systems, 30–37 (March/April 2001)
Wache, H., Vögele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., Hübner, S.: Ontology-Based Integration of Information A Survey of Existing Approaches. In: IJCAI 2001. Workshop: Ontologies and Information Sharing (2001)
Do, H.H., Rahm, E.: COMA - a system for flexible combination of schema matching approaches. In: VLDB. Proceedings of the Very Large Data Bases Conference, pp. 610–621 (2001)
Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to map ontologies on the semantic web. In: WWW. Proceedings of the International World Wide Web Conference, pp. 662–673 (2003)
Kalfoglou, Y., Schorlemmer, M.: Ontology mapping: the state of the art. The Knowledge Engineering Review 18(1), 1–31 (2003)
Marshall, C.C., Shipman, F.M.: Which semantic web? In: HYPERTEXT 2003. Proceedings of the fourteenth ACM conference on Hypertext and hypermedia, pp. 57–66. ACM Press, New York (2003)
Cimiano, P., Staab, S.: Learning by Googling. SIGKDD Explor. Newsl. 6(2), 24–33 (2004)
Noy, N.F.: Semantic integration: a survey of ontology-based approaches. In: SIGMOD Record, ACM Press, New York (2004)
Ehrig, M., Sure, Y.: Ontology mapping - an integrated approach. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds.) ESWS 2004. LNCS, vol. 3053, pp. 76–91. Springer, Heidelberg (2004)
Schlobach, S.: Semantic clarification by pinpointing. In: Proceedings of the second European Semantic Web conference. LNCS, Springer, Heidelberg (2004)
Bouquet, P., Euzenat, J., Franconi, E., Serafini, L., Stamou, G., Tessaris, S.: D2.2.1: Specification of a common framework for characterizing alignment. Technical report, NoE Knowledge Web project delivable,(2004) http://knowledgeweb.semanticweb.org/
Euzenat, J.: An API for ontology alignment. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 698–712. Springer, Heidelberg (2004)
van Hage, W., Katrenko, S., Schreiber, G.: A Method to Combine Linguistic Ontology-Mapping Techniques. In: Proc. of ISWC (2005)
Shvaiko, P., Euzenat, J.: A Survey of Schema-based Matching Approaches. Journal on Data Semantics IV (2005)
Aleksovski, Z., Klein, M., ten Katen, W., van Harmelen, F.: Matching Unstructured Vocabularies using a Background Ontology. In: Staab, S., Svatek, V. (eds.) Proc. of EKAW. LNCS (LNAI), Springer, Heidelberg (2006)
van Harmelen, F.: Semantic Web Research anno 2006: main streams, popular fallacies, current status and future challenges. In: Proceedings of the 10th International Workshop on Cooperative Information Agents, Springer, Heidelberg (2006)
Sabou, M., dAquin, M., Motta, E.: Using the Semantic Web as Background Knowledge for Ontology Mapping. In: Sabou, M. (ed.) Proceedings International Workshop on Ontology Matching (OM-2006), collocated with ISWC 2006 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Vazquez, R., Swoboda, N. (2007). Combining the Semantic Web with the Web as Background Knowledge for Ontology Mapping. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS. OTM 2007. Lecture Notes in Computer Science, vol 4803. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76848-7_55
Download citation
DOI: https://doi.org/10.1007/978-3-540-76848-7_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76846-3
Online ISBN: 978-3-540-76848-7
eBook Packages: Computer ScienceComputer Science (R0)