Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/7330

TítuloTopic maps applied to PubMed
Autor(es)Librelotto, Giovani Rubert
Machado, Henrique Tamiosso
Martins, Mirkos
Ferreira, Pedro Gabriel Dias
Ramalho, José Carlos
Henriques, Pedro Rangel
Palavras-chaveTopic map
XML
PubMed
Search engine
Querying
Topic maps
Data2007
EditoraExtreme Markup Languages 2007
CitaçãoINTERNATIONAL WORKSHOP ON MARKUP OF OVERLAPPING STRUCTURES (EXTREME MARKUP 2007), Montréal, Canadá, 2007 – “Extreme markup languages 2007 : proceedings”. [S.l. : Extreme Markup Languages, 2007].
Resumo(s)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.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/7330
Arbitragem científicayes
AcessoopenAccess
Aparece nas coleções:DI/CCTC - Artigos (papers)

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
EML2007Librelotto01-1.pdfartigo1,9 MBAdobe PDFVer/Abrir
Extreme2007-TM2PubMed.pptapresentação ppt2,12 MBMicrosoft PowerpointVer/Abrir

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