Linked Open Vocabularies

poste - "La Poste" Ontology

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

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

osp - French Public Services Ontology

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

Ontology for public services and organizations @en

gov - Ontology for modelling historic administrative information.

http://gov.genealogy.net/ontology.owl

The Genealogisches Orts-Verzeichnis (GOV) contains information about current and historical political, ecclesiastical and legal administrative affiliations of settlements and administrative units. In addition several time-dependent values (such as names, population numbers, postal codes etc.) are given. @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

mrel - MARC Code List for Relators

http://id.loc.gov/vocabulary/relators

MARC relators are defined as both RDF properties and SKOS concepts @en

lvont - Lexvo.org Ontology

http://lexvo.org/ontology

An ontology for natural language terms description, including scripts, languages and meanings. The Lexvo.org ontology is still under development and may not be able to address all needs. Please also consider using the Lingvoj Ontology and the GOLD ontology, whereever appropriate. @en

earth - The Linked Earth Ontology

http://linked.earth/ontology#

The Linked Earth Ontology aims to provide a common vocabulary for annotating paleoclimatology data @en

psh - Probabilistic SHACL Validation

http://ns.inria.fr/probabilistic-shacl/

An OWL vocabulary to include and exploit probabilistic information in SHACL validation reports @en

nrv - Normative Requirements Vocabulary

http://ns.inria.fr/nrv

An OWL vocabulary for describing normative requirements. @en

omnfed - Open-Multinet Upper Federation Ontology

http://open-multinet.info/ontology/omn-federation

This ontology defines concepts related to federation of internet infrastructures. @en

opmo - Open Provenance Model

http://openprovenance.org/model/opmo

The Open Provenance Model is a model of provenance that is designed to meet the following requirements: (1) To allow provenance information to be exchanged between systems, by means of a compatibility layer based on a shared provenance model. (2) To allow developers to build and share tools that operate on such a provenance model. (3) To define provenance in a precise, technology-agnostic manner. (4) To support a digital representation of provenance for any 'thing', whether produced by computer systems or not. (5) To allow multiple levels of description to coexist. (6) To define a core set of rules that identify the valid inferences that can be made on provenance representation. @en

nif - NLP Interchange Format

http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#

The NLP Interchange Format (NIF) is an RDF/OWL-based format that aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. @en

acrt - Agent Certification Ontology

http://privatealpha.com/ontology/certification/1#

This document specifies a vocabulary for asserting the existence of official endorsements or certifications of agents, such as people and organizations. @en

dprov - Decision Provenance ontology (DecPROV)

http://promsns.org/def/decprov

This ontology is a reduced-in-scope version of the [W3C Decisions and Decision-Making Incubator Group](https://www.w3.org/2005/Incubator/decision/)'s Decision Ontology (DO) which can be found at <https://github.com/nicholascar/decision-o>. It has been re-worked to align entirely with the W3C's [PROV ontology](https://www.w3.org/TR/prov-o/) since it is widely recognised that analysing the elements of decisions *post hoc* is an exercise in provenance. Unlike the original DO, this ontology cannot be used for *normative* scenarios: it is only capable of recording decisions that have already been made (so-called *data-driven* use in the DO). This is because PROV, to which this ontology is completely mapped, does not have a templating system which can indicate what *should* occur in future scenarios. This ontology introduces only one new element for decision modelling over that which was present in the DO: an Agent which allows agency in decision making to be recorded. @en

Patterns?:	type name both
Flatten?:	yes no

How to