Linked Open Vocabularies

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

crsw - ReSIST Courseware Ontology

http://courseware.rkbexplorer.com/ontologies/courseware

The ReSIST Courseware Ontology represents the various educational courses and resources within the ReSIST project @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

cochrane - Cochrane Core Vocabulary Ontology

http://data.cochrane.org/ontologies/core/

The Cochrane Core ontology describes the entities and concepts that exist in the domain of evidence based healthcare. It is used for the construction of the Cochrane Linked Data Vocabulary containing some 400k terms including Interventions (Drugs, Procedures etc), Populations (Age, Sex, Condition), and clinical Outcomes. @en

pico - Cochrane PICO Ontology

http://data.cochrane.org/ontologies/pico/

The PICO ontology provides a machine accessible version of the PICO framework. It essentially provides a model for describing evidence in a consistent way. The model allows the specifying of complex populations, detailed interventions and their comparisons as well as the outcomes considered. The PICO ontology was originally designed to model the questions asked and answered in Cochrane's systematic reviews. As a leader in the field of evidence based healthcare Cochrane uses the PICO model when framing and publishing evidence based questions. The PICO model is widely adopted for describing healthcare evidence, furthermore is equally applicable in other evidence-based domains. It essentially provides a model for describing evidence in a consistent way. @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

eurio - EURIO: EUropean Research Information Ontology

http://data.europa.eu/s66#

The EUropean Research Information Ontology (EURIO) conceptualises, formally encodes and makes available in an open, structured and machine-readable format data about resarch projects funded by the EU's framework programmes for research and innovation. @en

poste - "La Poste" Ontology

http://data.lirmm.fr/ontologies/poste

This vocabulary describes the contact points of the postal agencies network in France. @en

osp - French Public Services Ontology

http://data.lirmm.fr/ontologies/osp

Ontology for public services and organizations @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

swc - Semantic Web Conference Ontology

http://data.semanticweb.org/ns/swc/ontology

The Semantic Web Conference ontology (SWC) is an ontology for describing academic conferences @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

bperson - Person

http://data.vlaanderen.be/ns/persoon

Person ontology in Dutch @en

Patterns?:	type name both
Flatten?:	yes no

How to