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BioDR : semantic indexing networks for biomedical document retrieval

Lourenço, Anália; Carreira, Rafael; Glez-Peña, Daniel; Méndez, José R.; Carneiro, S.; Rocha, Luís M.; Díaz, Fernando; Ferreira, E. C.; Rocha, I.

In Biomedical research, retrieving documents that match an interesting query is a task performed quite frequently. Typically, the set of obtained results is extensive containing many non-interesting documents and consists in a flat list, i.e., not organized or indexed in any way. This work proposes BioDR, a novel approach that allows the semantic indexing of the results of a query, by identifying relevant terms...


Biomedical text mining applied to document retrieval and semantic indexing

Lourenço, Anália; Carneiro, S.; Ferreira, E. C.; Carreira, Rafael; Rocha, Luís M.; Peña, Daniel Glez; Méndez, José R.; Riverola, Florentino Fdez

In Biomedical research, the ability to retrieve the adequate information from the ever growing literature is an extremely important asset. This work provides an enhanced and general purpose approach to the process of document retrieval that enables the filtering of PubMed query results. The system is based on semantic indexing providing, for each set of retrieved documents, a network that links documents and re...


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    Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência Programa Operacional da Sociedade do Conhecimento União Europeia