Generating semantic networks to the PubMed

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...

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Detalhes bibliográficos
Autor principal: Librelotto, Giovani Rubert (author)
Outros Autores: Martins, Mirkos (author), Machado, Henrique Tamiosso (author), Vizzotto, Juliana (author), Ramalho, José Carlos (author), Henriques, Pedro Rangel (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2008
Assuntos:
XML
Topic Maps
Semantic network
PubMed
Texto completo:http://hdl.handle.net/1822/9360
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/9360
Descrição
Resumo: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.

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