Linked Life Data Platform adopts Ontotext’s Insights highly advanced methodology for Linked Data generation. All supported data sets are transformed to a common RDF data format, keeping in mind the semantic consistency at both the schema and instance levels.
All closely related data sets are grouped into Linked Data Hubs, each describing a specific class of biomedical information – disease, target, drug, patient, etc. Although that the information integrated within a data hub might originate from many different sources and is kept in its original schema, the redundant data is clearly identified and used in terms of different provenance sources, thus improving the reliability of the information. Linked entities and their semantic relations are used to interlink the different Linked Data Hubs, thus making semantic bridges between them.