Oliveira, DanielaButt, Anila SaharHaller, ArminRebholz-Schuhmann, DSahay, R2020-11-092020-11-091467-5463http://hdl.handle.net/1885/214160Motivation: 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.This work has been supported by the Science Foundation Ireland (grant number SFI/12/RC/2289).application/pdfen-AU© The Author(s) 2018. Published by Oxford University Press.http://creativecommons.org/ licenses/by-nc/4.0/information retrievalranking algorithmsontologyhealthcare and life sciencessemantic Weblinked data201910.1093/bib/bby0152020-07-06Commons Attribution Non-Commercial License