Topic maps applied to 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...

ver descrição completa

Detalhes bibliográficos
Autor principal: Librelotto, Giovani Rubert (author)
Outros Autores: Machado, Henrique Tamiosso (author), Martins, Mirkos (author), Ferreira, Pedro Gabriel Dias (author), Ramalho, José Carlos (author), Henriques, Pedro Rangel (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2007
Assuntos:
Topic map
XML
PubMed
Search engine
Querying
Topic maps
Texto completo:http://hdl.handle.net/1822/7330
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/7330
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.

Registros relacionados