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- W2788097871 abstract "Information Retrieval Systems that compute a matching between a document and a query based on words intersection, cannot reach relevant documents that do not share any terms with the query. The objective of this master thesis is to propose a solution to this problem in the context of conceptual indexing. We study an ontology based matching that exploit links between concepts. We propose a model that exploits the weighted links of ontology. We also propose to extend the links of the ontology to reflect the structural ambiguity of some concepts. A validation of our proposal is made on the test collection ImagCLEFMed 2005 and the external resource UMLS 2005." @default.
- W2788097871 created "2018-03-06" @default.
- W2788097871 creator A5047228001 @default.
- W2788097871 date "2010-01-01" @default.
- W2788097871 modified "2023-09-25" @default.
- W2788097871 title "Conceptual Structure Matching using a Bayesian Framework in a Conceptual Indexing. Application to Medical Domain with Multilingual Documents and UMLS Meta-thesaurus" @default.
- W2788097871 hasPublicationYear "2010" @default.
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