Linked Open Vocabularies

This ontology defines classes and properties for describing participants, infrastructure, data and services of the International Data Spaces (formerly known as Industrial Data Space). @en

aml- AutomationML Ontology

https://w3id.org/i40/aml

A vocabulary to represent the AutomationML Standard - IEC 62714 @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

mdo- Materials Design Ontology - Full

https://w3id.org/mdo/full/

This is the Materials Design Ontology. @en

mdo-struc- Materials Design Ontology - Structure Module

https://w3id.org/mdo/structure/

This is the structure module in Materials Design Ontology. @en

mdo-calc- Materials Design Ontology - Calculation Module

https://w3id.org/mdo/calculation/

This is the calculation module of Materials Design Ontology. @en

opm- OPM: Ontology for Property Management

https://w3id.org/opm

The Ontology for Property Management (OPM) extends the concepts introduced in the Smart Energy Aware Systems (SEAS) Evaluations ontology. @en

opti- Offshore Wind Power Platform Ontology for OPTiMAR

https://w3id.org/optimar

This ontology describes the components, failures, sensors, and events related to offshore wind platforms. @en

otl- The Open Traffic Lights ontology

https://w3id.org/opentrafficlights

This ontology provides the terms necessary to describe the status of traffic lights. @en

sdom- The Software Description Ontology for Models

https://w3id.org/okn/o/sdm

The Software Description Ontology for Models (SDM) expands the software description ontology (SD) to add information about scientific software models. Examples of scientific software models are hydrology models, agriculture models or economy models. @en

ofo- Occupant Feedback Ontology

https://w3id.org/ofo#

The aim of the Occupant Feedback Ontology is to semantically describe passive and active occupant feedback and to enable integration of this feedback with linked building data. @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

pep- Process Execution ontology.

https://w3id.org/pep/

The process execution ontology is a proposal for a simple extension of both the [W3C Semantic Sensor Network](https://www.w3.org/TR/vocab-ssn/) and the [Semantic Actuator Network](https://www.irit.fr/recherches/MELODI/ontologies/SAN.owl) ontology cores. @en

seast- The SEAS Time Ontology.

https://w3id.org/seas/TimeOntology

This ontology defines: - a set of subclasses of `seas:Evaluation` to better interpret evaluations of quantifiable properties. - a set of sub properties of `seas:hasProperty` to qualify time-related properties. @en

seasd- The SEAS Device ontology

https://w3id.org/seas/DeviceOntology

The SEAS Device ontology defines `seas:Device` as physical system that are designed to execute one or more procedures that involve the physical world. @en