Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/16768
Título: | Biomedical text mining applied to document retrieval and semantic indexing |
Autor(es): | Lourenço, Anália Carneiro, S. Ferreira, Eugénio C. Carreira, Rafael Rocha, Luís M. Peña, Daniel Glez Méndez, José R. Riverola, Florentino Fdez Diaz, Fernando Rocha, I. Rocha, Miguel |
Palavras-chave: | Biomedical document retrieval Document relevance Enhanced instance retrieval network Named entity recognition Semantic indexing document network |
Data: | Jun-2009 |
Editora: | Springer Verlag |
Revista: | Lecture 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. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/16768 |
ISBN: | 9783642024801 |
DOI: | 10.1007/978-3-642-02481-8_146 |
ISSN: | 0302-9743 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Artigos em Livros de Atas / Papers in Proceedings |