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Journal on Data Semantics IX pp 1–38Cite as

Semantic Matching: Algorithms and Implementation

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Part of the book series: Lecture Notes in Computer Science ((JODS,volume 4601))

Abstract

We view match as an operator that takes two graph-like structures (e.g., classifications, XML schemas) and produces a mapping between the nodes of these graphs that correspond semantically to each other. Semantic matching is based on two ideas: (i) we discover mappings by computing semantic relations (e.g., equivalence, more general); (ii) we determine semantic relations by analyzing the meaning (concepts, not labels) which is codified in the elements and the structures of schemas. In this paper we present basic and optimized algorithms for semantic matching, and we discuss their implementation within the S-Match system. We evaluate S-Match against three state of the art matching systems, thereby justifying empirically the strength of our approach.

This article is an expanded and updated version of an earlier conference paper [23].

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Authors and Affiliations

  1. Department of Information and Communication Technology, University of Trento, 38050, Povo, Trento, Italy

    Fausto Giunchiglia, Mikalai Yatskevich & Pavel Shvaiko

Authors
  1. Fausto Giunchiglia
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  2. Mikalai Yatskevich
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  3. Pavel Shvaiko
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Editor information

Stefano Spaccapietra Paolo Atzeni François Fages Mohand-Saïd Hacid Michael Kifer John Mylopoulos Barbara Pernici Pavel Shvaiko Juan Trujillo Ilya Zaihrayeu

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Giunchiglia, F., Yatskevich, M., Shvaiko, P. (2007). Semantic Matching: Algorithms and Implementation. In: Spaccapietra, S., et al. Journal on Data Semantics IX. Lecture Notes in Computer Science, vol 4601. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74987-5_1

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  • DOI: https://doi.org/10.1007/978-3-540-74987-5_1

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