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Information retrieval and machine learning for probabilistic schema matching

โœ Scribed by Henrik Nottelmann; Umberto Straccia


Book ID
113663719
Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
364 KB
Volume
43
Category
Article
ISSN
0306-4573

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In the logical approach to information retrieval (IR), retrieval is considered as uncertain inference. Whereas classical IR models are based on propositional logic, we combine Datalog (function-free Horn clause predicate logic) with probability theory. Therefore, probabilistic weights may be attache