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Untangling BioOntologies for Mining Biomedical Information

dc.contributor.authorSilva, Mario J.por
dc.contributor.authorCouto, Francisco Mpor
dc.contributor.authorGrego, Tiagopor
dc.contributor.authorFaria, Danielpor
dc.contributor.authorPesquita, Catiapor
dc.date.accessioned2010-01-25T10:12:05Zpor
dc.date.accessioned2014-11-14T16:25:55Z
dc.date.available2010-01-25T10:12:05Zpor
dc.date.available2014-11-14T16:25:55Z
dc.date.issued2008por
dc.description.abstractBiomedical research generates a vast amount of information that is ultimately stored in scientific publications or in databases. The information in scientific texts is unstructured and thus hard to access, whereas the information in databases, although more accessible, often lacks in contextualization. The integration of information from these two kinds of sources is crucial for managing and extracting knowledge. By structuring and defining the concepts and relationships within a biomedical domain, BioOntologies have taken a key role in this integration. This chapter describes the role of BioOntologies in sharing, integrating and mining biological information, discusses some of the most relevant BioOntologies and illustrates how they are being used by automatic tools to improve our understanding of life.por
dc.identifier.isbn978-1599049908por
dc.identifier.urihttp://hdl.handle.net/10451/14538por
dc.identifier.urihttp://repositorio.ul.pt/handle/10455/3302por
dc.language.isoengpor
dc.publisherHandbook of Research on Text and Web Mining Technologies, IGI Global Publishingpor
dc.subjectData Miningpor
dc.subjectBiomedical Databasespor
dc.subjectMolecular Biologypor
dc.subjectOntologypor
dc.subjectBioLiteraturepor
dc.subjectText Miningpor
dc.subjectBioOntologypor
dc.titleUntangling BioOntologies for Mining Biomedical Informationpor
dc.typebook part
dspace.entity.typePublication
rcaap.rightsopenAccesspor
rcaap.typebookPartpor

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