Abstract
Existing ontology matching algorithms use a combination of lexical and structural correspondence between source and target ontologies. We present a realistic case-study where both types of overlap are low: matching two unstructured lists of vocabulary used to describe patients at Intensive Care Units in two different hospitals. We show that indeed existing matchers fail on our data. We then discuss the use of background knowledge in ontology matching problems. In particular, we discuss the case where the source and the target ontology are of poor semantics, such as flat lists, and where the background knowledge is of rich semantics, providing extensive descriptions of the properties of the concepts involved. We evaluate our results against a Gold Standard set of matches that we obtained from human experts.
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
Rahm, E., Bernstein, P.A.: A Survey of Approaches to Automatic Schema Matching. VLDB Journal 10(4) (2001)
Doan, A., Madhavan, J., Domingos, P., Halevy, A.: Learning to Map Between Ontologies on the Semantic Web. In: WWW 2002: Proceedings of the Eleventh International Conference on World Wide Web, pp. 662–673. ACM Press, New York (2002)
Noy, N.F., Musen, M.A.: PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment. In: Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI 2000), Austin, TX. AAAI/MIT Press (2000)
McGuinness, D.L., Fikes, R., Rice, J., Wilder, S.: The Chimaera Ontology Environment. In: Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence, pp. 1123–1124. AAAI Press / The MIT Press (2000)
Bouquet, P., Serafini, L., Zanobini, S.: Semantic coordination: A new approach and an application. Technical report, University of Trento (2003)
Euzenat, J., Bach, T.L., Barrasa, J., Bouquet, P., Bo, J.D., Dieng, R., Ehrig, M., Hauswirth, M., Jarrar, M., Lara, R., Maynard, D., Napoli, A., Stamou, G., Stuckenschmidt, H., Shvaiko, P., Tessaris, S., Acker, S.V., Zaihrayeu, I.: Survey of scalability techniques for reasoning with ontologies. KnowledgeWeb Project deliverable D2.1.1 (2004)
de Bruijn, J., Martin-Recuerda, F., Manov, D., Ehrig, M.: D4.2.1 state-of-the-art-survey on ontology merging and aligning v1. SEKT Project deliverable D4.2.1 (2004)
Guarino, N., Masolo, C., Vetere, G.: Ontoseek: Content-based access to the web. IEEE Intelligent Systems, 1094-7167/99 (1999)
Ichise, R., Takeda, H., Honiden, S.: Integrating multiple internet directories by instance-based learning. In: Proceedings of the eighteenth International Joint Conference on Artificial Intelligence (2003)
Schlobach, S.: Semantic clarification by pinpointing. In: Proceedings of the second European Semantic Web conference, LNCS. Springer, Heidelberg (2004)
Ehrig, M., Sure, Y.: Foam - framework for ontology alignment and mapping; results of the ontology alignment initiative. In: Ashpole, B., Ehrig, M., Euzenat, J., Stuckenschmidt, H. (eds.) Proceedings of the Workshop on Integrating Ontologies, vol. 156, pp. 72–76. CEUR-WS.org (2005)
Jian, N., Hu, W., Cheng, G., Qu, Y.: Falcon-ao: Aligning ontologies with falcon. In: K-Cap 2005 Workshop on Integrating Ontologies (2005)
Euzenat, J., Stuckenschmidt, H., Yatskevich, M.: Introduction to the ontology alignment evaluation 2005. Technical report (2005)
Giunchiglia, F., Shvaiko, P., Yatskevich, M.: S-match: an algorithm and an implementation of semantic matching. In: Proceedings of the European Semantic Web Symposium (ESWC), pp. 61–75 (2004)
Gusfield, D.: Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology, 1st edn. Cambridge University Press, Cambridge (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Aleksovski, Z., Klein, M., ten Kate, W., van Harmelen, F. (2006). Matching Unstructured Vocabularies Using a Background Ontology. In: Staab, S., Svátek, V. (eds) Managing Knowledge in a World of Networks. EKAW 2006. Lecture Notes in Computer Science(), vol 4248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11891451_18
Download citation
DOI: https://doi.org/10.1007/11891451_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46363-4
Online ISBN: 978-3-540-46365-8
eBook Packages: Computer ScienceComputer Science (R0)