NDLI: Quickmig: automatic schema matching for data migration projects

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Quickmig: automatic schema matching for data migration projects

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Quickmig: automatic schema matching for data migration projects

Content Provider	ACM Digital Library
Author	Drumm, Christian Rahm, Erhard Schmitt, Matthias Do, Hong-Hai
Abstract	A common task in many database applications is the migration of legacy data from multiple sources into a new one. This requires identifying semantically related elements of the source and target systems and the creation of mapping expressions to transform instances of those elements from the source format to the target format. Currently, data migration is typically done manually, a tedious and timeconsuming process, which is difficult to scale to a high number of data sources. In this paper, we describe QuickMig, a new semi-automatic approach to determining semantic correspondences between schema elements for data migration applications. QuickMig advances the state of the art with a set of new techniques exploiting sample instances, domain ontologies, and reuse of existing mappings to detect not only element correspondences but also their mapping expressions. QuickMig further includes new mechanisms to effectively incorporate domain knowledge of users into the matching process. The results from a comprehensive evaluation using real-world schemas and data indicate the high quality and practicability of the overall approach.
Starting Page	107
Ending Page	116
Page Count	10
File Format	PDF
ISBN	9781595938039
DOI	10.1145/1321440.1321458
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2007-11-06
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Mapping discovery Schema mapping Schema matching Data migration Data transformation
Content Type	Text
Resource Type	Article

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