Session

DescriptionOne major potential and promise of big data analysis lies in the simultaneous mining andintegration of multiple heterogeneous sources of data. In life sciences, recent years have seenthe increasing availability of biological and bioinformatic databases using the ResourceDescription Framework (RDF), which facilitates automatic data processing andinteroperability. However, there are major stumbling blocks on the path to mass adoption.The complexity of general-purpose models, inconsistent data models, and low usability aresome of the challenges that hamper the use of RDF resources by the bulk of biologicalresearchers. This mini-symposium brings together specialists on semantic data integration inlife science and will provide a forum to explore innovative solutions to fulfil the potential ofbig data integration.