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iadopt - I-ADOPT Framework ontology https://w3id.org/iadopt/ont The I-ADOPT Framework ontology @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 -
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 -
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 -
ontouml - OntoUML Metamodel Vocabulary https://w3id.org/ontouml A reference implementation of the OntoUML metamodel in OWL. @en -
sdont - The Software Description Ontology https://w3id.org/okn/o/sd An ontology for describing software and their links to inputs, outputs and variables. The ontology extends schema.org and codemeta vocabularies @en -
okh - Open Know How (OKH) ontology https://w3id.org/oseg/ont/okh Used for indexing, searching and comparing Open Source Hardware projects @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 -
peco - The Provenance of Emission Calculations Ontology https://w3id.org/peco This ontology defines a vocabulary for describing provenance traces of carbon emission calculations by capturing the quantifiable measurements of carbon emission sources used by some activities (e.g., electricity used by a machinery to produce a product, petrol used to make a car journey, etc.) and emission conversion factors used to estimate the carbon emissions produced by these. In addition, the ontology provides the ability to capture various data transformations that occurred before energy estimates may be used with relevant conversion factors. For example, sensors may provide raw readings about a water flow of an irrigation rig in an agri-food operation which is then used as a proxy to estimate the total volume of fertilisers used. @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 -
seas-stats - The SEAS Statistics ontology. https://w3id.org/seas/StatisticsOntology This ontology defines common evaluation interpretation concepts for statistics. @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