Foundations of statistical natural language processing
Foundations of statistical natural language processing
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Information Integration Using Logical Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
Answering queries using views: A survey
The VLDB Journal — The International Journal on Very Large Data Bases
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Rondo: a programming platform for generic model management
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Statistical schema matching across web query interfaces
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Relational languages for metadata integration
ACM Transactions on Database Systems (TODS)
Change detection in ontologies using DAG comparison
CAiSE'07 Proceedings of the 19th international conference on Advanced information systems engineering
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At a fundamental level, the key challenge in data integration is to reconcile the semantics of disparate data sets, each expressed with a different database structure. I argue that computing statistics over a large number of structures offers a powerful methodology for producing semantic mappings, the expressions that specify such reconciliation. In essence, the statistics offer hints about the semantics of the symbols in the structures, thereby enabling the detection of semantically similar concepts. The same methodology can be applied to several other data management tasks that involve search in a space of complex structures and in enabling the next-generation on-the-fly data integration systems.