Probabilistic model for schema understanding and matching

Lev Arie Ratino, Solomon E. Shimony, Ehud Gudes

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

Abstract

Schema matching is the problem of finding a correspondence between schemas - relational database schemas or web repositories. The ad-hoc approaches perform poorly on real-world schemas due to the abundance of non-dictionary abbreviations. Our approach to schema matching is based on deep understanding of the schema, using an integrative probabilistic generative model as a frame-work for comparing candidate interpretations. In empirical evaluation, the proposed model performed well in interpreting relational schemas, and exhibited high resistance to noise in the model parameters.

Original languageEnglish
Title of host publication2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Pages4768-4773
Number of pages6
DOIs
StatePublished - 1 Dec 2004
Event2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004 - The Hague, Netherlands
Duration: 10 Oct 200413 Oct 2004

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume5
ISSN (Print)1062-922X

Conference

Conference2004 IEEE International Conference on Systems, Man and Cybernetics, SMC 2004
Country/TerritoryNetherlands
CityThe Hague
Period10/10/0413/10/04

ASJC Scopus subject areas

  • Engineering (all)

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