Utilize este identificador para referenciar este registo: http://hdl.handle.net/10451/14538
Título: Untangling BioOntologies for Mining Biomedical Information
Autor: Silva, Mario J.
Couto, Francisco M
Grego, Tiago
Faria, Daniel
Pesquita, Catia
Palavras-chave: Data Mining
Biomedical Databases
Molecular Biology
Ontology
BioLiterature
Text Mining
BioOntology
Data: 2008
Editora: Handbook of Research on Text and Web Mining Technologies, IGI Global Publishing
Resumo: Biomedical 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.
URI: http://hdl.handle.net/10451/14538
http://repositorio.ul.pt/handle/10455/3302
ISBN: 978-1599049908
Aparece nas colecções:FC-DI-Lasige - Articles in International Journals

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