The provenance ontology supports data management and auditing tasks. It is used to define the different types of named graphs we used in the store (quad store) and enables their association with ...

Big data, defined as large complex data sets, has the potential to throw light onto every link in the life sciences value chain, which is why data mining has become so important to researchers – but ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Neo4j’s Emil Eifrem takes a look at how life science researchers can use graph databases to get granular insight from big data and make real advances in research Big data, defined as large complex ...