Abstract
Ontology matching is now a core question in most of the applications that require semantic interoperability. To deal with this problem, a lot of methods, classified according to different criteria, are currently developed. However, choosing the most relevant method in a particular context is not an easy task since it requires to know all the methods and their intrinsic properties. The objective of the OntoMas1 tutoring system (Ontology Matching Assistant) is (1) to propose an architecture and to develop an effective knowledge-based system dedicated to a fine-grained description and a classification of the current matching methods and (2) to provide functionalities dedicated to the definition of advices and explanations (for the end-user), in order to facilitate both the choice of the most suitable method for a particular matching problem and the learning of this new domain: ontology matching.
This work is supported by the Commission of the European Communities under the Sixth Framework Program: [INTEROP Network Of Excellence - 508011] http://www.interop-noe.org.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
6 References
B. Ashpole, M. Ehrig, J. Euzenat, and H. Stuckenschmidt. In Proceedings of the KCAP 2005 Workshop on Integrating Ontologies, http://sunsite.informatik.rwthaachen.de/Publications/CEUR-WS/Vol-156/, 2005. CEUR Proceedings-Volume 156. 2005.
D. Bianchini, S. Castano, F. D’Antonio, V. De Antonellis, M. Harzallah, M. Missikoff, S. Montanelli, Digital Resource Discovery: Semantic Annotation and Matchmaking Techniques. Proceedings of the Interoperability for Enterprise Software and Applications Conference (I-ESA 2006). 2006.
P. Bouquet, L. Serafini, and S. Zanobini. Semantic coordination: A new approach and an application. In Proceedings of the International Semantic Web Conference (ISWC), pages 130–145, 2003.
A. Doan and A. Halevy. Semantic integration research in the database community: A brief survey. 2005.
A. Doan, J. Madhavan, P. Domingos, and A. Halevy. Ontology Matching: A Machine Learning Approach. In Handbook on Ontologies in Information Systems, pages 397–416, 2004.
J. Euzenat, J. Barrasa, P. Bouquet, R. Dieng, M. Ehrig, M. Hauswirth, M. Jarrar, R. Lara, D. Maynard, A. Napoli, G. Stamou, H. Stuckenschmidt, P. Shvaiko, S. Tessaris, S. van Acker, I. Zaihrayeu, and T. L. Bach. D2.2.3: State of the art on ontology alignment. Technical report, NoE Knowledge Web project deliverable, 2004. http://knowledgeweb.semanticweb.org/
J. Euzenat and P. Valtchev. Similarity-based ontology alignment in OWL-Lite. In R. Lopez de Mantaras and L. Saitta, editors, European Conference on Artificial Intelligence (ECAI’2004), pages 333–337. IOS Press, 2004.
F. Giunchiglia, P. Shvaiko, and M. Yatskevich. S-Match: an Algorithm and an Implementation of Semantic Matching. In Proceedings of the First European Semantic Web Symposium, pages 61–65. Springer-Verlag. LNCS 3053, 2004.
F. Giunchiglia and P. Shvaiko. Semantic matching. The Knowledge Engineering Review Journal (KER), 18(3):265–280, 2003.
Y. Kalfoglou and M. Schorlemmer. Ontology mapping: the state of the art. The Knowledge Engineering Review, 18(1):1–31, 2003.
N. F. Noy and M. Musen. The PROMPT suite: Interactive tools for ontology merging and mapping. International Journal of Human-Computer Studies, 59(6):983–1024, 2003.
N. F. Noy. Semantic integration: A survey of ontology-based approaches. SIGMOD Record, 33(4):65–70, 2004.
Interop partners, D8.1: State of the art and state of the practice including. initial possible research orientations. Technical report, NoE Interop Deliverable, 2004. http://www.interop-noe.org
P. Shvaiko and J. Euzenat. A survey of schema-based matching approaches. 3730:146–171, 2005.
G. Stumme and A. Maedche. FCA-MERGE: Bottom-up merging of ontologies. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI’2001), pages 225–234, 2001.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag London Limited
About this paper
Cite this paper
Huza, M., Harzallah, M., Trichet, F. (2007). OntoMas: a Tutoring System dedicated to Ontology Matching. In: Gonçalves, R.J., Müller, J.P., Mertins, K., Zelm, M. (eds) Enterprise Interoperability II. Springer, London. https://doi.org/10.1007/978-1-84628-858-6_42
Download citation
DOI: https://doi.org/10.1007/978-1-84628-858-6_42
Publisher Name: Springer, London
Print ISBN: 978-1-84628-857-9
Online ISBN: 978-1-84628-858-6
eBook Packages: EngineeringEngineering (R0)