The Semantic Web: Semantics and Big Data

Volume 7882 of the series Lecture Notes in Computer Science pp 200-212

Bio2RDF Release 2: Improved Coverage, Interoperability and Provenance of Life Science Linked Data

  • Alison CallahanAffiliated withDepartment of Biology, Carleton University
  • , José Cruz-ToledoAffiliated withDepartment of Biology, Carleton University
  • , Peter AnsellAffiliated witheResearch Lab, School of ITEE, University of Queensland
  • , Michel DumontierAffiliated withDepartment of Biology, Carleton University

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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.


Semantic Web RDF Linked Data Life Sciences SPARQL