Ontology highlight
ABSTRACT: Motivation
On the semantic web, in life sciences in particular, data is often distributed via multiple resources. Each of these sources is likely to use their own International Resource Identifier for conceptually the same resource or database record. The lack of correspondence between identifiers introduces a barrier when executing federated SPARQL queries across life science data.Results
We introduce a novel SPARQL-based service to enable on-the-fly integration of life science data. This service uses the identifier patterns defined in the Identifiers.org Registry to generate a plurality of identifier variants, which can then be used to match source identifiers with target identifiers. We demonstrate the utility of this identifier integration approach by answering queries
SUBMITTER: Wimalaratne SM
PROVIDER: S-EPMC4443684 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature