Dug: a semantic search engine leveraging peer-reviewed knowledge to query biomedical data repositories.

ABSTRACT:

Motivation

As the number of public data resources continues to proliferate, identifying relevant datasets across heterogenous repositories is becoming critical to answering scientific questions. To help researchers navigate this data landscape, we developed Dug: a semantic search tool for biomedical datasets utilizing evidence-based relationships from curated knowledge graphs to find relevant datasets and explain why those results are returned.

Results

Developed through the National Heart, Lung and Blood Institute's (NHLBI) BioData Catalyst ecosystem, Dug has indexed more than 15 911 study variables from public datasets. On a manually curated search dataset, Dug's total recall (total relevant results/total results) of 0.79 outperformed default Elasticsearch's total recall of

SUBMITTER: Waldrop AM 

PROVIDER: S-EPMC9991886 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature