Linked Open Vocabularies

sou- QUDT VOCAB Systems of Units Release 2.1.34

QUDT VOCAB Systems of Units Release 2.1.34 @en

qudt- Quantities, Units, Dimensions and Types

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

dqc- The Data Quality Constraints Library

http://semwebquality.org/ontologies/dq-constraints

This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality constraint templates are especially useful for the identification of data quality problems during data entry and for periodic quality checks during data usage. @en

eeo- Experimental Evaluation Ontology

https://w3id.org/eeo

An ontology to describe experiments, evaluations and their relation. @en

chameo- CHAracterisation MEthodology Ontology

https://w3id.org/emmo/domain/characterisation-methodology/chameo

CHAMEO is a domain ontology designed to model the common aspects across the different characterisation techniques and methodologies. @en

puv- Parameter Usage Vocabulary ontology

https://w3id.org/env/puv

A simple ontology which implements the Parameter Usage Vocabulary semantic model, as described at https://github.com/nvs-vocabs/P01 @en

eppl- The EP-Plan ontology

https://w3id.org/ep-plan

PROV extension for linking Plans and parts of plans to their respective executions. @en

hpont- The Heat Pump Ontology (HPOnt).

https://w3id.org/hpont

The Heat Pump Ontology (HPOnt) aims to formalize and represent all the relevant information of Heat Pumps. The HPOnt has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. @en

icon- ICON Ontology

https://w3id.org/icon/ontology/

The ICON ontology deals with high granularity art interpretation. It was developed by conceptualizing Panofsky's theory of levels of interpretation, therefore artworks can be described according to Pre-iconographical, Iconographical and Iconological information. @en

ifc- IFC4_ADD1

https://w3id.org/ifc/IFC4_ADD1

OWL ontology for the IFC conceptual data schema and exchange file format for Building Information Model (BIM) data @en

ishi- Ishikawa diagram ontology

https://w3id.org/ishikawa-diagram-ontology

The Ishikawa ontology aims to provide a data and view model to manage data encoded in Ishikawa diagrams which are also known as fishbone or cause and effect diagram (CED). Ishikawa diagrams result from (iterative) workshops. Thus, the ontology includes the basic modelling of workshops to create Ishikawa diagrams. @en

loin- Level of Information Need (LOIN) Ontology

https://w3id.org/loin

The Level of Information Need (LOIN) Ontology is defined for specifying information requirements for delivery of data in a buildings' life cycle. The LOIN ontology is based on the standard BS EN 17412-1 (2020). Furthermore, it is extended with vocabulary for connecing Information Delivery Specifications (IDS) and Information containers for linked document delivery (ICDD) as per ISO 21597-1 (2020). @en

nno- The Neural Network Ontology

https://w3id.org/nno/ontology

This is the Neural Network Ontology. Designed by the AIFB (http://www.aifb.kit.edu/web/Web_Science) @en