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Schema Homomorphism – An Algebraic Framework for Schema Matching

Authors: Zhang, Z.; Che, HY; Shi, PF; Sun, Y.; Gu, J.;

Schema Homomorphism – An Algebraic Framework for Schema Matching

Abstract

A formal framework for SMP is important because it facilitates the building of algorithm model and the evaluation of algorithms. First, we propose a formal definition of schema matching that is named multivalent matching, i.e., an individual of source schema can be associated with a set of individuals of target schema. Second, we develop the algebraic framework of multivalent matching that is called schema homomorphism and propose the algorithm model of SMP. Then, we discuss the relations between match cardinality and variants of schema homomorphism.

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China (People's Republic of)
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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