Publication . Pereira, Arnaldo; Almeida, João Rafael; Lopes, Rui Pedro; Pazos, Alejandro; Oliveira, José Luís
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.
