Where to search top-K biomedical ontologies?
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...[Show more]
|Collections||ANU Research Publications|
|Source:||Briefings in Bioinformatics|
|Access Rights:||Open Access|
|01_Oliveira_Where_to_search_top-K_2019.pdf||1.49 MB||Adobe PDF|
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