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Communications of the ACM
Semantic integration of semistructured and structured data sources
ACM SIGMOD Record
Reconciling schemas of disparate data sources: a machine-learning approach
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Global Viewing of Heterogeneous Data Sources
IEEE Transactions on Knowledge and Data Engineering
A Graph-Based Approach For Extracting Terminological Properties of Elements of XML Documents
Proceedings of the 17th International Conference on Data Engineering
Generic Schema Matching with Cupid
Proceedings of the 27th International Conference on Very Large Data Bases
ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems
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This paper proposes a technique which allows to select Web sources on the basis of a semantic reconstruction of user's preferences. A conceptual model, called SDR-Network, and a probabilistic Description Logic, called DLP, are exploited to this end.