Linked Open Vocabularies

bimerr-op - Occupancy Profile ontology

http://bimerr.iot.linkeddata.es/def/occupancy-profile#

The Occupancy Profile ontology has been developed to represent people’s behavior inside building spaces. @en

brk - Key Register Cadastre (BRK) vocabulary

http://brk.basisregistraties.overheid.nl/def/brk

Vocabulary for the Dutch key register of the cadastre (BRK) @en

brt - Key Register Topography (BRT) vocabulary

http://brt.basisregistraties.overheid.nl/def/top10nl

Vocabulary for the Dutch key register of topography (BRT) @en

dtx_srti - LOD SRTI DATEX II

http://cef.uv.es/lodroadtran18/def/transporte/dtx_srti

An RDF/OWL vocabulary to represent SRTI DATEX II profile (according the Commission Delegated Regulation (EU) No 886/2013) within the European LOD-RoadTran18 action "Supporting the cross-border use of Road Traffic Data with Linked Open Data based on DATEX II (LOD-RoadTran18)" (Agreement No: INEA/CEF/ICT/A2018/1803421, Action No: 2018-EU-IA-0088). The vocabulary is used for mapping between DATEX II and LOD formats. @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

era - ERA vocabulary

http://data.europa.eu/949/

This is the human and machine readable Vocabulary/Ontology governed by the European Union Agency for Railways. It represents the concepts and relationships linked to the sectorial legal framework and the use cases under the Agency´s remit. Currently, this vocabulary covers the European railway infrastructure and the vehicles authorized to operate over it. It is a semantic/browsable representation of the RINF and ERATV application guides that were built by domain experts in the RINF and ERATV working parties. Since version 2.6.0, the ontology includes the routebook concepts described in appendix D2 \"Elements the infrastructure manager has to provide to the railway undertaking for the Route Book\" (https://eur-lex.europa.eu/eli/reg_impl/2019/773/oj) and the appendix D3 \"ERTMS trackside engineering information relevant to operation that the infrastructure manager shall provide to the railway undertaking\". @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

ispra - Ispra Ontology

http://dati.isprambiente.it/ontology/core#

ISPRA ontology aims at the description of the processes and activities of the Institute in the areas circumscribed by the first published datasets. @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

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

dogont - Ontology Modeling for Intelligent Domotic Environments

http://elite.polito.it/ontologies/dogont.owl

The DogOnt ontology supports device/network independent description of houses, including both controllable and architectural elements. @en

Patterns?:	type name both
Flatten?:	yes no

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