Matching Schemas From Disparate Data Sources

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Our Prototype.. Our Goal..• Preliminary test-bed in Java with a reasonablecollection of matchers• To be extended by integrating more matchingapproaches• Tool to investigate/evaluate different approachesusing “appropriate” performance metrics– Speed, Accuracy (Precision versus Recall)
Design• A collection of matchers that works on datasummaries• Numeric, Categorized and Text-based data
Page 1 and 2: Matching SchemasFrom DisparateData
Page 3 and 4: What is Semantic Matching?• Mappi
Page 5 and 6: Schema Sfantastic house 250,000 1
Page 7 and 8: Manual integration is notpractical
Page 9 and 10: • Matching Accuracy!Key Challenge
Page 11 and 12: • Training/domain expert:- Ask us
Page 13: • Fragment-oriented:- Decompose X
Page 17 and 18: • Name Matcher (Exact, Levenshtei
Page 28 and 29: Conclusion• Schema matching is th
Page 30: Thanks! ☺Any Q?

Matching Schemas From Disparate Data Sources

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