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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Bibliographic Details
Main Author: Librelotto, Giovani Rubert (author)
Other Authors: Martins, Mirkos (author), Machado, Henrique Tamiosso (author), Vizzotto, Juliana (author), Ramalho, José Carlos (author), Henriques, Pedro Rangel (author)
Format: conferencePaper
Language:eng
Published: 2008
Subjects:
XML
Topic Maps
Semantic network
PubMed
Online Access:http://hdl.handle.net/1822/9360
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/9360
Description
Summary: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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