Where to search top-K biomedical ontologies?

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Oliveira, Daniela
Butt, Anila Sahar
Haller, Armin
Rebholz-Schuhmann, D
Sahay, R

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British Academy and Oxford University Press

Abstract

Motivation: Searching for precise terms and terminological definitions in the biomedical data space is problematic, as researchers find overlapping, closely related and even equivalent concepts in a single or multiple ontologies. Search engines that retrieve ontological resources often suggest an extensive list of search results for a given input term, which leads to the tedious task of selecting the best-fit ontological resource (class or property) for the input term and reduces user confidence in the retrieval engines. A systematic evaluation of these search engines is necessary to understand their strengths and weaknesses in different search requirements.

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Briefings in Bioinformatics

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Open Access

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Commons Attribution Non-Commercial License

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