Report On The Scalability Of Semantic Web Integration In Biomedbridges
Julie A. McMurry, Simon Jupp, JAMES M. MALONE, Tony Burdett, Andy Jenkinson, Helen E. Parkinson, Mark G. Davies, Marco Brandizi, Sarala Wimalaratne, Nicole Redaschi, Chris A. Morris, Martyn Winn · Zenodo (CERN European Organization for Nuclear Research) · 2015
The overwhelming majority of the world’s data is stored in relational databases; however, direct integration of these databases is hampered by the heterogeneity of schemas, terminologies, identifiers, and the granularity of representation. European e-Infrastructure projects are increasingly turning to the “linked data” approach to address these challenges with semantic web technologies. The semantic web uses RDFS and OWL, schema languages that are designed from the ground up to connect disparate data sources. This approach is proving to be a solution to some of the emerging challenges in the life sciences. The BioMedBridges semantic web pilot spans several deliverables; its goal is to test the suitability of a semantic web approach to the task of integrating research data and to report on our experience of running an RDF-based platform integrating multiple data resources.