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

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

ctag - Common Tag Vocabulary

http://commontag.org/ns#

Common Tags are references to unique, well-defined concepts, complete with metadata and their own URLs. @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

r4r - Relations for Reusing (R4R) Ontology

http://guava.iis.sinica.edu.tw/r4r

R4R is a light-weight ontology for representing general relationships of resource for publication and reusing. It asserts that a certain reusing context occurred and determined by its two basic relations, namely, isPackagedWith and isCitedBy. The isPackagedWith relation declares the resource is ready to be reused by incorporating License and Provenance information. The Cites relation is an exceptional to isCitedBy which occurs only two related objects cite each other at the same time. Five resource objects including article, data, code, provenance and license are major class concepts to represent in this ontology. The namespace for all R4R terms is http://guava.iis.sinica.edu.tw/r4r/ @en

veo - Vehicle Emissions Ontology

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

An ontology for describing vehicles and their emissions. @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

edupro - EduProgression Ontology

http://ns.inria.fr/semed/eduprogression/

The EduProgression ontology formalizes the educational progressions of the French educational system, making possible to represent the existing progressions in a standard formal model, searchable and understandable by machines (OWL). @en

ntag - Nice Tag Ontology

http://ns.inria.fr/nicetag/2010/09/09/voc

NiceTag Ontology is an ontology which describes as generally as possible tags or rather tag actions understood as a speech acts occurring on the Web @en

nrv - Normative Requirements Vocabulary

http://ns.inria.fr/nrv

An OWL vocabulary for describing normative requirements. @en

pmofn - Predicate Model for Ontologies (PreMOn) - FrameNet ontology module

http://premon.fbk.eu/ontology/fn

The FrameNet module of the PreMOn ontology extends the core module for representing concepts specific to FrameNet. The modeling is based on the [FrameNet II: Extended Theory and Practice](https://framenet2.icsi.berkeley.edu/docs/r1.5/book.pdf) book. @en

pmonb - Predicate Model for Ontologies (PreMOn) - NomBank ontology module

http://premon.fbk.eu/ontology/nb

The NomBank module of the PreMOn ontology extends the core module for representing concepts specific to NomBank. The modelling is based on the NomBank Specifications. @en

Patterns?:	type name both
Flatten?:	yes no

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