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Topic maps applied to PubMed

Librelotto, Giovani Rubert; Machado, Henrique Tamiosso; Martins, Mirkos; Ferreira, Pedro Gabriel Dias; Ramalho, José Carlos; Henriques, Pedro Rangel
Fonte: Extreme Markup Languages 2007 Publicador: Extreme Markup Languages 2007
Tipo: Conferência ou Objeto de Conferência
Publicado em //2007 ENG
Relevância na Pesquisa
This paper presents a topic map approach to PubMed in order to create a knowledge representation for this information system. PubMed is a free search engine that gives very full coverage of the related biomedical sciences. With more than 17 millions of citations since 1865, PubMed users have several problems to find the papers desired. So, it is necessary to organize these concepts in a semantic network. To achieve this objective, we use the Metamorphosis system, choosing the keywords from MeSH ontology. This way, we obtain an ontological index for PubMed, making easier to find specific papers.