Matching Schemas From Disparate Data Sources

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$latex - Andy-roberts.net$

Outline• Introduction and motivations• What is Schema Matching?• State of the Art in Matching Schemas fromDiverse Sources• Our Prototype.. Our Goals..• Conclusions and Future Work
• Matching Accuracy!Key Challenges• Smart ideas to exclude unnecessary matching• How to match (semi)structured data or data withdifferent designs (column name may be a data field!)• Reflect/guarantee domain constraints in the match• Complex matches 1-to-M (fns of multiple columns)• Time complexity (schemas may have thousands attr)
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: Manual integration is notpractical
Page 11 and 12: • Training/domain expert:- Ask us
Page 13 and 14: • Fragment-oriented:- Decompose X
Page 15 and 16: Design• A collection of matchers
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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