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  • va - The Visual Analytics Vocabulary
    http://code-research.eu/ontology/visual-analytics
    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
  • ccp - Vocabulary for prices options in Cloud Computing Services
    http://cookingbigdata.com/linkeddata/ccpricing
    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
  • ccr - Vocabulary for Regions and Zones on Cloud Computing
    http://cookingbigdata.com/linkeddata/ccregions
    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
  • ccsla - Service Level Agreement for Cloud Computing
    http://cookingbigdata.com/linkeddata/ccsla
    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
  • cci - Ontology for Cloud Computing instances
    http://cookingbigdata.com/linkeddata/ccinstances
    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
  • esco - The ESCO ontology
    http://data.europa.eu/esco/model
    The ontology of the taxonomy "European Skills, Competences, qualifications and Occupations". The ontology considers three ESCO pillars (or taxonomy) and 2 registers. The three pillars are: - Occupation - Skill (and competences) - Qualification For the construction and use of the ESCO pillars, the following modelling artefacts are used: - Facetting support to specialize ESCO pillar concepts based on bussiness relevant Concept Groups (e.g. species, languages, ...) - Conept Groups, Thesaurus array and Compound terms (as detailed in ISO 25964) to organize faceted concepts - SKOS mapping properties to relate ESCO pillar concepts to concepts in other (external) taxonomies (e.g. FoET, ISCO88 and ISCO08. More mappings can be added in the future.) - Tagging ESCO pillar concepts by other (external) taxonomies (NUTS, EQF, NACE, ...) - Capture gender specifics on the labels of the ESCO pillar concepts - Rich ESCO concept relationships holding a description and other specific characteristics of the relation between two ESCO pillar concepts. ESCO maintains two additional registers: - Awarding Body - Work Context Awarding Bodies typically are referenced by ESCO qualifications. Occupations can have one or more work context. @en
  • pni - SNaP Identifier Ontology
    http://data.press.net/ontology/identifier/
    The Identifier Ontology models non-RDF based Identifiers for resources. It is used to maintain a mapping between RDF resources identifiers and their equivalent IDs in an alternate, non-RDF based domain. @en
  • graphql - GraphQL Vocabulary
    http://datashapes.org/graphql
    A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
  • cis - Cultural-ON (Cultural ONtology): Cultural Institute/Site and Cultural Event Ontology
    http://dati.beniculturali.it/cultural-ON/cultural-ON.owl
    The ontology aims at modelling the data on cultural institutes or sites such as data regarding the agents that play a specific role on cultural institutes or sites, the sites themselves, the contact points, all multimedia files which describe the cultural institute or site and any other information useful to the public in order to access the institute or site. Moreover, the ontology represents events that can take place in specific cultural institutes or sites. @en
  • obws - Object with states ontology
    http://delicias.dia.fi.upm.es/ontologies/ObjectWithStates.owl
    Ontology including the content ontology design pattern for modelling objects with states. @en
  • h2o - Ontology for conversion of ISO/TC 211
    http://def.seegrid.csiro.au/isotc211/iso19150/-2/2012/basic
    This ontology establishes classes corresponding to stereotypes used in ISO-conformant models, as used in the rules for conversion of the ISO TC 211 Harmonized Model from the UML to OWL representations @en
  • sam - The Sampling Features Schema Vocabulary
    http://def.seegrid.csiro.au/isotc211/iso19156/2011/sampling
    An OWL representation of the Sampling Features Schema described in clauses 8-10 of ISO 19156:2011 Geographic Information - Observations and Measurements. @en
  • li - OWL representation of ISO 19115 (Geographic Information - Metadata - Lineage package)
    http://def.seegrid.csiro.au/isotc211/iso19115/2003/lineage
    An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - LI Package @en
  • basic - OWL representation of ISO 19103 (Basic types package)
    http://def.seegrid.csiro.au/isotc211/iso19103/2005/basic
    An OWL representation of (some of) the basic types described in ISO 19103:2005, required as primitives in other ontologies based on ISO 19100 series standards @en
  • op - Observable properties
    http://environment.data.gov.au/def/op
    A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en