Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/45082

TitleDevelopment of text mining tools for information retrieval and extraction from patents
Author(s)Alves, Tiago Alexandre Pinto
Costa, Hugo Samuel Oliveira
Rocha, Miguel
Issue date23-Feb-2017
CitationAlves, Tiago; Hugo Costa; Rocha, Miguel, Development of text mining tools for information retrieval and extraction from patents. BOD 2017 - Bioinformatics Open Days (Book Conference). Braga, Feb 23-24, 2017.
Abstract(s)[Excerpt] Biomedical literature is composed of a large and ever increasing number of publications, written in natural language. Patents are a relevant fraction of these publications, considered important sources of information due to all the curated information available in the documents, from the granting process. Although being real technological libraries, their unstructured data turns the search of information within these documents a challenging task. Biomedical text mining is a scientific field that explores this task, creating methodologies to search and structure the information in the biomedical literature. [...]
TypeAbstract
URIhttp://hdl.handle.net/1822/45082
Publisher versionhttp://www.bioinformaticsopendays.com/
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Resumos em Livros de Atas / Abstracts in Proceedings

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