Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Where to search top-K biomedical ontologies?

Loading...
Thumbnail Image

Date

Authors

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

Journal Title

Journal ISSN

Volume Title

Publisher

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.

Description

Citation

Source

Briefings in Bioinformatics

Book Title

Entity type

Access Statement

Open Access

License Rights

Commons Attribution Non-Commercial License

Restricted until