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Discovery of biomedical databases through semantic questioning

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Detalhes bibliográficos
Resumo:Many clinical studies are greatly dependent on an efficient identification of relevant datasets. This selection can be performed in existing health data catalogues, by searching for available metadata. The search process can be optimised through questioning-answering interfaces, to help researchers explore the available data present. However, when searching the distinct catalogues the lack of metadata harmonisation imposes a few bottlenecks. This paper presents a methodology to allow semantic search over several biomedical database catalogues, by extracting the information using a shared domain knowledge. The resulting pipeline allows the converted data to be published as FAIR endpoints, and it provides an end-user interface that accepts natural language questions.
Autores principais:Pereira, Arnaldo
Outros Autores:Almeida, João Rafael; Lopes, Rui Pedro; Pazos, Alejandro; Oliveira, José Luís
Assunto:Clinical studies Health data Ontology Semantic questioning
Ano:2022
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB

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