Overview of the Ninth Annual Meeting of the BioLINK SIG at ISMB: Linking Literature, Information and Knowledge for Biology
Identifieur interne : 001B17 ( Main/Exploration ); précédent : 001B16; suivant : 001B18Overview of the Ninth Annual Meeting of the BioLINK SIG at ISMB: Linking Literature, Information and Knowledge for Biology
Auteurs : Christian Blaschke [Espagne] ; Lynette Hirschman ; Hagit Shatkay [Canada] ; Alfonso Valencia [Espagne]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: With the increasing availability of textual information related to biological research, such information has become an important component of many bioinformatics applications. Much recent work aims to develop practical tools to facilitate the use of the literature for annotating the vast amounts of molecular data, including gene sequences, transcription profiles and biological pathways. The broad area of biomedical text mining is concerned with using methods from natural language processing, information extraction, information retrieval and summarization to automate knowledge discovery from biomedical text. In the biomedical domain, research has focused on several complex text-based applications, including the identification of relevant literature (information retrieval) for specific information needs, the extraction of experimental findings for assistance in building biological knowledge bases, and summarization – aiming to present key biological facts in a succinct form.
Url:
DOI: 10.1007/978-3-642-13131-8_1
Affiliations:
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