The problem of computing/discovering mappings across heterogeneous schemas (e.g., classifications, taxonomies, catalogs, data types definitions) is one of the key issues in the development of the Semantic Web. In this paper, we argue that this problem can be viewed as a problem of semantic coordination (namely, as a problem of coordinating the meaning of portions of schemas through a collection of semantic mappings), and propose a new method for discovering semantic mappings called CTXMATCH. This approach shifts the problem of semantic coordination from the problem of computing linguistic or structural similarities (what most other proposed approaches do) to the problem of deducing relations between sets of logical formulae that represent the meaning of elements belonging to different schema. We show how to apply the method to an interesting family of schemas (namely hierarchical classifications), and present the results of preliminary tests on two types of hierarchical cl! assifications, web directories and catalogs. Finally, we argue why this is a significant improvement on previous approaches

Peer to Peer Semantic Coordination

Serafini, Luciano;
2004

Abstract

The problem of computing/discovering mappings across heterogeneous schemas (e.g., classifications, taxonomies, catalogs, data types definitions) is one of the key issues in the development of the Semantic Web. In this paper, we argue that this problem can be viewed as a problem of semantic coordination (namely, as a problem of coordinating the meaning of portions of schemas through a collection of semantic mappings), and propose a new method for discovering semantic mappings called CTXMATCH. This approach shifts the problem of semantic coordination from the problem of computing linguistic or structural similarities (what most other proposed approaches do) to the problem of deducing relations between sets of logical formulae that represent the meaning of elements belonging to different schema. We show how to apply the method to an interesting family of schemas (namely hierarchical classifications), and present the results of preliminary tests on two types of hierarchical cl! assifications, web directories and catalogs. Finally, we argue why this is a significant improvement on previous approaches
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/2526
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