A large collection of bioinformatics question-query pairs over federated knowledge graphs: methodology and applications.

ABSTRACT:

Background

In recent decades, several life science resources have structured data using the same framework and made these accessible using the same query language to facilitate interoperability. Knowledge graphs have seen increased adoption in bioinformatics due to their advantages for representing data in a generic graph format. For example, yummydata.org catalogs more than 60 knowledge graphs accessible through SPARQL, a technical query language. Although SPARQL allows powerful, expressive queries, even across physically distributed knowledge graphs, formulating such queries is a challenge for most users. Therefore, to guide users in retrieving the relevant data, many of these resources provide representative examples. These examples can also be an important source of information

SUBMITTER: Bolleman J 

PROVIDER: S-EPMC12083453 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature