Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/7697

TitleAn ontology-based approach to systems biology literature retrieval and processing
Author(s)Lourenço, Anália
Simões, Alberto
Almeida, J. J.
Rocha, Miguel
Rocha, I.
Ferreira, E. C.
Issue dateDec-2007
PublisherSpringer
CitationNEVES, José ; SANTOS, Manuel Filipe ; MACHADO, José Manuel, ed. lit. – “Progress in artificial intelligence : proceedings of the Portuguese Conference on Artificial Intelligence (EPIA 2007), 13, Guimarães, Portugal, 2007”. [Berlin] : Springer, 2007. ISBN 978-3-540-77000-8. p. 541-552.
Abstract(s)This paper details the SysBio Explorer, a Systems Biology Literature Retrieval and Processing Framework, whose aim relies on the automatic inference of regulatory and metabolic networks based on biomedical literature. The SysBio Explorer does not focus on any organism or problem in particular and encompasses a number of processing and analysis techniques. It works over full-text documents, applying Natural Language Processing techniques and using biomedical dictionaries and ontologies together with hand-made rules. Besides biological entity recognition and relation extraction, document classification, relevance assessment and authoring networks are also within its present scope. The framework is described in terms of its design requirements and implementation decisions, exposing current achievements, but also highlighting present obstacles and future work. Experiments over realworld problems concerning the organisms E. coli, S. cerevisiae and H. pylori are used in its validation.
TypeConference paper
URIhttp://hdl.handle.net/1822/7697
ISBN978-3-540-77000-8
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Artigos em Livros de Atas / Papers in Proceedings
DI/CCTC - Artigos (papers)

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