The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. @en
disco- DDI-RDF Discovery Vocabulary
http://rdf-vocabulary.ddialliance.org/discovery
A metadata vocabulary for documenting research and survey data @en
idemo- Demographic ontology from the French Statistics Institute
http://rdf.insee.fr/def/demo
Ontology with classes and properties used for demography, mostly in the census of the population @en
mv- MobiVoc: Open Mobility Vocabulary
http://schema.mobivoc.org/
Our goal is to significantly improve the data mobility between all stakeholders by providing a standardized vocabulary using Semantic Web technologies and ontologies. For the open vocabulary covering various mobility aspects we use RDF (Resource Description Framework) - a recommended specification of the World Wide Web Consortium (W3C) and the so-called lingua franca for the integration of data and web. We invite everyone who is interested to join our MobiVoc initiative and to participate in the development of the Open Mobility Vocabulary. @en
odv- Organogram Data Vocabulary
http://reference.data.gov.uk/def/organogram
Extension of data cube for civil service junior posts @en
This ontology provides the predicates necessary to describe a connection or hop from one transit stop to another. @en
spt- SPITFIRE Ontology
http://spitfire-project.eu/ontology/ns
TheSPITFIRE Ontology (spt) is based on the alignment among Dolce+DnS Ultralite(dul), the W3C Semantic Sensor Network ontology (ssn) and the Event Model-F ontology (event). @en
dave- Data Value Vocabulary (DaVe)
http://theme-e.adaptcentre.ie/dave/dave.ttl
The Data Value Vocabulary (DaVe) is an extensible core vocabulary that allows user to use custom data value dimensions and metrics to characterise data value in a specific context. This flexibility allows for the comprehensive modelling of data value. As a data value model, DaVe allows users to monitor data value as it occurs within a data exploitation or value creation process (data value chain) @en
scovo- The Statistical Core Vocabulary
http://vocab.deri.ie/scovo
A vocabulary for representing statistical data on the Web. Note :The SCOVO vocabulary is deprecated. We strongly advise to use the Data Cube Vocabulary instead. @en
incident- Vocabulary to describe incident response by emergency services
http://vocab.resc.info/incident
Vocabulary to describe the response to a incident by emergency services.
This is NOT intended to describe the incident itself, it describes the response @en
vrank- Vocabulary for Ranking
http://vocab.sti2.at/vrank
The Vocabulary for Ranking (vRank) is an RDF Schema vocabulary for materializing ranking computations. @en
ioc- IOC: Internet of Construction Ontology
http://w3id.org/ioc
The Internet of Construction Ontology (IoC) construction process ontology is intended to represent a comprehensive solution of how processes in the construction industry can be modelled. Due to the iterative nature of creating an ontology, the construction process ontology presented here can at best be considered a working state at the time of publication. Our approach emphasizes the simplest and most comprehensive mapping possible, which is only extended based on insights from practical use when otherwise compelling limitations in usability and applicability arise. Thus, the extension and refinement of the developed construction process ontology strongly depends on the integration of further areas of the construction value chain and the connection of further domain ontologies. @en
dt- Data Template (DT) Ontology
http://w3id.org/dt
The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @en
vocals- VoCaLS: A Vocabulary and Catalog for Linked Streams
http://w3id.org/rsp/vocals#
This ontology aims to model RDF streams, their metadata, and access endpoints for publishing and consuming these streams @en
dk- The Data Knowledge Vocabulary
http://www.data-knowledge.org/dk/
The Data Knowledge Vocabulary allows for a comprehensive description of data assets and enterprise data management. It covers a business data dictionary, data quality management, data governance, the technical infrastructure and many other aspects of enterprise data management. The vocabulary represents a linked data implementation of the Data Knowledge Model which resulted from extensive applied research. @en