Abstract
The problem of integrating independent data banks is manifold. One of the arising issues is that data models of the same or related subjects vary among implementations. Therefore, identification of analogous, (fundamentally) identical or just similar concepts is a must. In this paper we deal with this problem. Based on preliminary descriptions of concepts, our novel integration method reorganises all data by means of a so-called catalogue. The strict mathematical basis of the catalogue enables 1) discovering the correspondence among concepts of the sources irrespectively of their language, 2) effective searching for exactly matching, parallel or alternative, most similar elements in the unified data bank. Our approach affords those databases the ability of transparently providing extended, personalisable services of better quality to the clients, which is highly demanded and applicable by modern web agents.
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
Coenen, F., Beattie, B., Bench-Capon, T.J.M., Shave, M.J.R.: Assessing Heterogenity by Classying Ontology Mismatches. In: Guarino, N. (ed.) Formal Ontology in Information Systems, pp. 148–162. IOS Press, Amsterdam (1998)
Fankhauser, P., Neuhold, E.J.: Knowledge Based Integration of Heterogenous Databases. In: Proc. of IFIP Conference DS-5 on Semantics of Interoperable Database Systems. Elsevier Science Publisher, North-Holland (1992)
Mena, E., Kashyap, V., Sheth, A.P., Illarramendi, A.: OBSERVER: An Approach for Query Processing in Global Information Systems based on Interoperation across Pre-existing Ontologies. Distributed and Parallel Databases 8(2), 223–271 (2000)
Omelayenko, B., Fensel, D.: An Analysis of B2B Catalogue Integration Problems (Content and Document Integration). In: Proc. of the International Conference on Enterprise Information Systems (2001)
Rodriguez, M.A., Egenhofer, M.J.: Determining Semantic Similarity Among Entity Classes from Different Ontologies. IEEE Transactions on Knowledge and Data Engineering 15(2), 442–456 (2003)
Unified Modeling Language Specification. Object Management Group. Version 1.5 (March 2003)
Wache, H., Vögele, T., Visser, U., Stuckenschmidt, H., Schuster, G., Neumann, H., Hübner, S.: Ontology-Based Information Integration — A Survey of Existing Approaches. In: Proc. of the International Joint Conference on Artificial Intelligence Workshop: Ontologies and Information Sharing (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kardkovács, Z.T., Surányi, G.M., Gajdos, S. (2003). Application of Catalogues to Integrate Heterogeneous Data Banks. In: Meersman, R., Tari, Z. (eds) On The Move to Meaningful Internet Systems 2003: OTM 2003 Workshops. OTM 2003. Lecture Notes in Computer Science, vol 2889. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39962-9_100
Download citation
DOI: https://doi.org/10.1007/978-3-540-39962-9_100
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20494-7
Online ISBN: 978-3-540-39962-9
eBook Packages: Springer Book Archive