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Semantic matching

GIUNCHIGLIA, FAUSTO, SHVAIKO, PAVEL·2003·The Knowledge Engineering Review

Abstract

We think of match as an operator that takes two graph-like structures (e.g. database schemas or ontologies) and produces a mapping between elements of the two graphs that correspond semantically to each other. The goal of this paper is to propose a new approach to matching, called semantic matching . As its name indicates, in semantic matching the key intuition is to exploit the model-theoretic information, which is codified in the nodes and the structure of graphs. The contributions of this paper are (i) a rational reconstruction of the major matching problems and their articulation in terms of the more generic problem of matching graphs, (ii) the identification of semantic matching as a new approach for performing generic matching and (iii) a proposal for implementing semantic matching by testing propositional satisfiability.

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Metadata

Authors
GIUNCHIGLIA, F., & SHVAIKO, P.
Venue
The Knowledge Engineering Review
Published
2003-09
Volume
18
Issue
3
Pages
265-280
ISSN
  • 0269-8889 (ISSN-L)
  • 1469-8005
OpenAlex
W2914271914
Cited by
321
References
1
FWCI
30.04
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Semantic matching. https://app.cochat.ai/papers/10.1017/s0269888904000074
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GIUNCHIGLIA, F., & SHVAIKO, P. (2003). Semantic matching. The Knowledge Engineering Review. https://doi.org/10.1017/s0269888904000074

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.