Mapping adaptation under evolving schemas

Yannis Velegrakis, Renée J. Miller, Lucian Popa

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

Abstract

To achieve interoperability, modern information systems and e-commerce applications use mappings to translate data from one representation to another. In dynamic environments like the Web, data sources may change not only their data but also their schemas, their semantics, and their query capabilities. Such changes must be reflected in the mappings. Mappings left inconsistent by a schema change have to be detected and updated. As large, complicated schemas become more prevalent, and as data is reused in more applications, manually maintaining mappings (even simple mappings like view definitions) is becoming impractical. We present a novel framework and a tool (ToMAS) for automatically adapting mappings as schemas evolve. Our approach considers not only local changes to a schema, but also changes that may affect and transform many components of a schema. We consider a comprehensive class ofmappings for relational and XML schemas with choice types and (nested) constraints. Our algorithm detects mappings affected by a structural or constraint change and generates all the rewritings that are consistent with the semantics of the mapped schemas. Our approach explicitly models mapping choices made by a user and maintains these choices, whenever possible, as the schemas and mappings evolve. We describe an implementation of a mapping management and adaptation tool based on these ideas and compare it with a mapping generation tool.

Original languageEnglish
Title of host publicationProceedings - 29th International Conference on Very Large Data Bases, VLDB 2003
Subtitle of host publication29th International Conference on Very Large Databases (VLDB)
EditorsPatricia G. Selinger, Michael J. Carey, Johann Christoph Freytag, Serge Abiteboul, Peter C. Lockemann, Andreas Heuer
PublisherMorgan Kaufmann
Pages584-595
Number of pages12
ISBN (Electronic)0127224424, 9780127224428
DOIs
Publication statusPublished - 1 Jan 2003
Event29th International Conference on Very Large Data Bases, VLDB 2003 - Berlin, Germany
Duration: 9 Sept 200312 Sept 2003

Conference

Conference29th International Conference on Very Large Data Bases, VLDB 2003
Country/TerritoryGermany
CityBerlin
Period9/09/0312/09/03

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