Bio2rdf currently provides the largest network of linked data for the life sciences. Here, we describe a significant update to increase the overall quality of rdfized datasets generated from open scripts powered by an api to generate registry-validated iris, dataset provenance and metrics, sparql endpoints, downloadable rdf and database files. We demonstrate federated sparql queries within and across the bio2rdf network, including semantic integration using the semanticscience integrated ontology (sio). This work forms a strong foundation for increased coverage and continuous integration of data in the life sciences
Motivation: Resource description framework (RDF) is an emerging technology for describing, publishin...
Sharing and describing experimental results unambiguously with sufficient detail to enable replicati...
Sharing and describing experimental results unambiguously with sufficient detail to enable replicati...
Bio2rdf currently provides the largest network of linked data for the life sciences. Here, we descri...
BACKGROUND: A key activity for life scientists in this post "-omics" age involves searching for and ...
Background: A key activity for life scientists in this post “-omics ” age involves searching for and...
Abstract. Bio2RDF is an open source project to generate and provide Linked Data for the Life Science...
In the life sciences, semantic web can support many aspects of bio- and health informatics, with exc...
Background: Biomedical data, e. g. from knowledge bases and ontologies, is increasingly made availab...
Background: As interest in adopting the Semantic Web in the biomedical domain continues to grow, Sem...
Data integration promises to be one of the main catalysts in enabling new insights to be drawn from ...
During recent years the increasing adoption of Open Data Initiatives and Lined Data principles have ...
National audienceOver the past few years, research programs involving genetic, genomic and post-geno...
Motivation: Data integration promises to be one of the main catalysts in enabling new insights to be...
The Linked Data paradigm involves practices to publish, share, and connect data on the Web. Thus, it...
Motivation: Resource description framework (RDF) is an emerging technology for describing, publishin...
Sharing and describing experimental results unambiguously with sufficient detail to enable replicati...
Sharing and describing experimental results unambiguously with sufficient detail to enable replicati...
Bio2rdf currently provides the largest network of linked data for the life sciences. Here, we descri...
BACKGROUND: A key activity for life scientists in this post "-omics" age involves searching for and ...
Background: A key activity for life scientists in this post “-omics ” age involves searching for and...
Abstract. Bio2RDF is an open source project to generate and provide Linked Data for the Life Science...
In the life sciences, semantic web can support many aspects of bio- and health informatics, with exc...
Background: Biomedical data, e. g. from knowledge bases and ontologies, is increasingly made availab...
Background: As interest in adopting the Semantic Web in the biomedical domain continues to grow, Sem...
Data integration promises to be one of the main catalysts in enabling new insights to be drawn from ...
During recent years the increasing adoption of Open Data Initiatives and Lined Data principles have ...
National audienceOver the past few years, research programs involving genetic, genomic and post-geno...
Motivation: Data integration promises to be one of the main catalysts in enabling new insights to be...
The Linked Data paradigm involves practices to publish, share, and connect data on the Web. Thus, it...
Motivation: Resource description framework (RDF) is an emerging technology for describing, publishin...
Sharing and describing experimental results unambiguously with sufficient detail to enable replicati...
Sharing and describing experimental results unambiguously with sufficient detail to enable replicati...