Generating Semantic Networks to the PubMed
Giovani Rubert Librelotto (UNIFRA - Centro Universitário Franciscano)
Mirkos Ortiz Martins (UNIFRA - Centro Universitário Franciscano)
Henrique Tamiosso Machado (UNIFRA - Centro Universitário Franciscano)
Juliana Kaizer Vizzotto (UNIFRA - Centro Universitário Franciscano)
José Carlos Ramalho (University of Minho)
Pedro Rangel Henriques (University of Minho)
Abstract:
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.
Keywords:
Semantic Web and Ontologies, Applications of XML
