Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/16768

TítuloBiomedical text mining applied to document retrieval and semantic indexing
Autor(es)Lourenço, Anália
Carneiro, S.
Ferreira, E. C.
Carreira, Rafael
Rocha, Luís M.
Peña, Daniel Glez
Méndez, José R.
Riverola, Florentino Fdez
Diaz, Fernando
Rocha, I.
Rocha, Miguel
Palavras-chaveBiomedical document retrieval
Document relevance
Enhanced instance retrieval network
Named entity recognition
Semantic indexing document network
DataJun-2009
EditoraSpringer-Verlag Berlin
RevistaLecture Notes in Computer Science
Resumo(s)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 relevant terms obtained by the annotation of biological entities (e.g. genes or proteins). This network provides distinct user perspectives and allows navigation over documents with similar terms and is also used to assess document relevance. A network learning procedure, based on previous work from e-mail spam filtering, is proposed, receiving as input a training set of manually classified documents.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/16768
ISBN9783642024801
DOI10.1007/978-3-642-02481-8_146
ISSN0302-9743
Arbitragem científicayes
AcessoopenAccess
Aparece nas coleções:CEB - Artigos em Livros de Atas / Papers in Proceedings

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