Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Large-Scale Schema Matching

  • Erhard Rahm
  • Eric Peukert
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_330-1

Synonyms

Definition

Schema matching aims at identifying semantically corresponding elements in two or more schemas, e.g., database schemas or ontologies. Large-scale schema matching focusses on the challenging cases of matching large schemas or more than two schemas. Matching multiple (>2) schemas is also known as holistic schema matching.

Overview

Schema matching aims at identifying semantic correspondences between metadata structures or models, such as database schemas, XML message formats, and ontologies. Solving such match problems is a key task in numerous application fields, in particular for data exchange and virtually all kinds of data integration. For example, in the two simple database schemas DB1.Student (Name, Major, Marks) and DB2.Grad-Student (LastName, FirstName, Major, Grades), simple (equivalence) correspondences would be DB1.Student ≈ DB2.Grad-Student, DB1.Major ≈ DB2.Major, and DB1.Marks ≈ DB2.Grades, while DB1.Name is related to both...

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References

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.University of LeipzigLeipzigGermany

Section editors and affiliations

  • Maik Thiele
    • 1
  1. 1.Database Systems GroupTechnische Universität DresdenDresdenDeutschland