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  • 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
  • aml - AutomationML Ontology
    https://w3id.org/i40/aml
    A vocabulary to represent the AutomationML Standard - IEC 62714 @en
  • core - Materials Design Ontology - Core Module
    https://w3id.org/mdo/core/
    This is the core module in Materials Design Ontology. @en
  • nen2660 - NEN 2660-2:2022 'Rules for information modelling of the built environment - Part 2: Practical configuration, extension and implementation of NEN 2660-1''
    https://w3id.org/nen2660/
    Ontology which is a normative part of the Dutch NEN 2660-2 standard @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
  • 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
  • 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-op - The SEAS Failable System ontology
    https://w3id.org/seas/OperatingOntology
    The SEAS Operating Ontology defines evaluations of operating features of interest. @en
  • seas-qudt - QUDT Alignment.
    https://w3id.org/seas/QUDTAlignment
    This ontology defines proposed alignemnts with the QUDT ontology. @en
  • seas-stats - The SEAS Statistics ontology.
    https://w3id.org/seas/StatisticsOntology
    This ontology defines common evaluation interpretation concepts for statistics. @en
  • seas-sys - The SEAS System ontology
    https://w3id.org/seas/SystemOntology
    The System Ontology defines Systems, Connections between systems, and Connection Points at which systems may be connected. This ontology is then specialized for multiple domains. For example: - In electric energy: - power systems consume, produce, store, and exchange electricity; - power connections are where electricity flows between systems; - power connection points are plugs, sockets, or power busses. - In the electricity market: - players and markets are systems; - connections are contracts or transactions between two players, or between a player and a market; - connection points include offers and bids. @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