This vocabulary allows the semantic description of visual analytics applications. It is based on the RDF Data Cube Vocabulary and the Semanticscience Integrated Ontology. @en
Used to describe a location that consists of a number of Regions but where the order is not known. e.g. the oddly named order() keyword in a INSDC file. @en
Simple and direct pricing ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
Ontology for the definition of regions and zones of availability on CloudComputing platforms and services. This ontology allows to define model of regions used in large cloud computing providers such as Amazon, Azure, etc. @en
Service Level Agreement for Cloud Computing Services. This ontology allows to define model of SLA/SLO used in large cloud computing providers such as Amazon, Azure, etc., including terms, claims, credit, compensations, etc @en
The PPROC ontology defines the necessary concepts to describe public procurement process and the contracts of public sector (public e-procurement). The ontology has been designed with the main purpose of publishing data about public contracts. @en
Ontology for Cloud Computing Instances. Instance are classes of VM that comprise varying combinations of CPU, memory, storage, and networking capacity. This ontology allows to define the instantiation model of MVs used in large cloud computing providers such as Amazon, Azure, etc. @en
This ontology reuses the legacy schema of BDTOPO(IGN) and aims at covering the topographic entities and administrative boundaries of the French national territory. The themes covered are: railway, transport, roads, energy, hydrography, POI, communes, etc. @en