Summary
A large amount of data, organized in heterogeneous schemas, is now available through the web. The problem of matching such schemas in order to allow global access to information has been recognized as one of the main challenges of the Semantic Web. In this paper, we propose a method for discovering mappings across schemas based on a new approach. This shifts the problem of schema matching from the process of computing linguistic or structural similarities between schema elements (what most other proposed approaches do) to the problem of deducing relations between sets of logical formulas representing the meaning of schema elements. We then show how to apply the approach to an interesting family of schemas, namely hierarchical classifications.
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Bouquet, P., Serafini, L., Zanobini, S. (2006). Semantic Coordination of Heterogeneous Classifications Schemas. In: Staab, S., Stuckenschmidt, H. (eds) Semantic Web and Peer-to-Peer. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28347-1_10
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DOI: https://doi.org/10.1007/3-540-28347-1_10
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