Schema matching based on labeled graph

  • Guitao Cao*
  • , Zhi Zhang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Schema matching is a critical problem for achieving semantic interoperability between heterogeneous information sources, and plays a key role in database applications. The aim of schema matching problem (SMP) is to find semantic correspondences between two schemas and indeed a combinatorial problem. In this paper, we use the labeled graph as the internal schema model, so SMP can be formulized as a semantic homomorphism from a labeled graph to another. Moreover, the homomorphism problem is equivalent to the constraint satisfaction problem (CSP) and H-coloring problem, so SMP can be reformulated, and an example is followed to show this process.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
DOIs
StatePublished - 2009
Event2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009 - Wuhan, China
Duration: 11 Dec 200913 Dec 2009

Publication series

NameProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

Conference

Conference2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
Country/TerritoryChina
CityWuhan
Period11/12/0913/12/09

Keywords

  • Constraint satisfaction problem
  • H-coloring problem
  • Labeled graph
  • Schema homomorphism
  • Schema maching

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