Linked Open Vocabularies

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

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

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

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

ldvm - Vocabulary for Linked Data Visualization Model

http://linked.opendata.cz/ontology/ldvm/

Vocabulary for Linked Data Visualization Model (LDVM) serves for description and configuration of components and pipelines according to LDVM @en

kees - KEES Ontology

http://linkeddata.center/kees/v1

KEES (Knowledge Exchange Engine Schema ) ontology describes a knowledge base configuration in terms of ABox and TBox statements together with their accrual and reasoning policies. This vocabulary is designed to drive automatic data ingestion in a graph database according KEES and Linked (Open) Data principles. @en

trao - Transport Administration Ontology

http://linkeddata.finki.ukim.mk/lod/ontology/tao#

Transport Administration Ontology (TAO) for describing data from Swedish Transport Administration Web site. @en

lsc - Linked Science Core Vocabulary

http://linkedscience.org/lsc/ns#

LSC, the Linked Science Core Vocabulary, is a lightweight vocabulary providing terms to enable publishers and researchers to relate things in science to time, space, and themes. @en

nrv - Normative Requirements Vocabulary

http://ns.inria.fr/nrv

An OWL vocabulary for describing normative requirements. @en

aws - Ontology for Meteorological sensors

http://purl.oclc.org/NET/ssnx/meteo/aws

This ontology is part of the Agriculture Meteorology example showcasing the ontology developed by the W3C Semantic Sensor Networks incubator group (SSN-XG). It is published here in order to generalize the potential usage and the alignment with other standardization efforts of the SSN ontology. @en

dpn - Data Provider Node ontology

http://purl.org/dpn

This ontology is being developed by CSIRO under the eReefs project for describing data provider nodes, web services available and datasets that are hosted by them. This ontology features a module for describing Datasets. It does not however describe geospatial, temporal, organisational or domain concepts as these are intended to be included from other ontologies via the imports statement. Other modules complementary to the DPN ontology are http://purl.org/dpn/dataset and http://purl.org/dpn/services. This version aligns DCAT and DC terms and imports DPN services. @en

p-plan - The P-PLAN Ontology

http://purl.org/net/p-plan#

The Ontology for Provenance and Plans (P-Plan) is an extension of the PROV-O ontology [PROV-O] created to represent the plans that guided the execution of scientific processes. P-Plan describes how the plans are composed and their correspondence to provenance records that describe the execution itself. @en

Patterns?:	type name both
Flatten?:	yes no

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