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  • s4bldg - SAREF extension for building devices
    https://saref.etsi.org/saref4bldg/
    This ontology extends the SAREF ontology for the building domain by defining building devices and how they are located in a building. This extension is based on the ISO 16739:2013 Industry Foundation Classes (IFC) standard for data sharing in the construction and facility management industries. The descriptions of the classes and properties extracted from IFC have been taken from the IFC documentation. @en
  • s4wear - SAREF4WEAR: an extension of SAREF for Wearables
    https://saref.etsi.org/saref4wear/
    SAREF4WEAR is an extension of SAREF for Wearables @en
  • CPSWatch - The Cyber Physical System Watch Ontology
    https://w3id.org/CPSWatch
    This ontology defines a vocabulary for describing cyber physical systems for monitoring purpose. It contains two main concepts: CPSWatch#MonitoredSystem that is a top level description of a System that is modeled and CPSWatch#MonitoringSensor that is a top level description of a sensor used to monitor the CPSWatch#MonitoredSystem. @en
  • gcon - GConsent - a consent ontology based on the GDPR
    https://w3id.org/GConsent
    GConsent provides concepts and relationships for defining consent and its associated information or metadata with a view towards GDPR compliance. It is the outcome of an analysis of consent and requirements associated with obtaining, using, and changes in consent as per the GDPR. The ontology also provides an approach to using its terms in various scenarios and use-cases (see more information in the documentation) which is intended to assist in its adoption. @en
  • gdprt - GDPR text EXTensions
    https://w3id.org/GDPRtEXT
    The General Data Protection Regulation (GDPR) is comprised of several articles, each with points that refer to specific concepts. The general convention of referring to these points and concepts is to quote the specific article or point using a human-readable reference. This ontology provides a way to refer to the points within the GDPR using the EurLex ontology published by the European Publication Office. It also defines the concepts defined, mentioned, and requried by the GDPR using the Simple Knowledge Organization System (SKOS) ontology. @en
  • gdprov - The GDPR Provenance ontology
    https://w3id.org/GDPRov
    GDPRov is an OWL2 ontology to express provenance metadata of consent and data lifecycles towards documenting compliance for GDPR. @en
  • IIoT - Ontology for Industrial Internet of Things systems
    https://w3id.org/IIoT
    The Internet of Things taxonomy is extended with semantic ontologies for IoT layers, containing classes, properties, individuals, and rules specific to IoT technologies, tools, and applications @en
  • gsn - OntoGSN
    https://w3id.org/OntoGSN/ontology
    OntoGSN is an ontology for managing assurance cases in the Goal Structuring Notation (GSN). The goal of the ontology is to help users in linking the elements of their cases - claims and evidence - with the internationalized resource identifiers (IRIs) of represented concepts, events and data, and in evaluating the validity of their argument. @en
  • airo - AI Risk Ontology
    https://w3id.org/airo
    AIRO represents AI risk concepts and relations based on the AI Act draft and ISO 31000 standard series. @en
  • ddesc - Denotative Description Ontology (ArCo network)
    https://w3id.org/arco/ontology/denotative-description
    The Denotative Description module encodes the characteristics of a cultural property, as detectable and/or detected during the cataloguing process and measurable according to a reference system. Examples include measurements e.g. length, constituting materials e.g. clay, employed techniques e.g. melting, conservation status e.g. good, decent, bad. In this module are used as template the following Ontology Design Patterns: - http://www.ontologydesignpatterns.org/cp/owl/collectionentity.owl - http://www.ontologydesignpatterns.org/cp/owl/classification.owl - http://www.ontologydesignpatterns.org/cp/owl/descriptionandsituation.owl - http://www.ontologydesignpatterns.org/cp/owl/situation.owl @en
  • arco - Core Ontology (ArCo network)
    https://w3id.org/arco/ontology/core
    The Core module represents general-purpose concepts orthogonal to the whole network, which are imported by all other ontology modules (e.g. part-whole relation, classification). @en
  • cdesc - Context Description Ontology (ArCo network)
    https://w3id.org/arco/ontology/context-description
    The Context Description module includes models for the context of a cultural property, in a broad sense: agents (e.g.: author, collector, copyright holder), objects (e.g.: inventories, bibliography, protective measures, other cultural properties, collections etc.), activities (e.g.: surveys, conservation interventions), situations (e.g.: commission, coin issuance, estimate, legal situation) related, involved or involving the cultural property. Thus it represents attributes that do not result from a measurement of features in a cultural property, but are associated with it. @en
  • bci - Brain Computing Interface (BCI) Ontology
    https://w3id.org/BCI-ontology
    The BCI ontology specifies a foundational metadata model set for real-world multimodal Brain Computing Interface (BCI) data capture activities. The ontology defines a minimalist and simple abstract metadata foundational model for real-world BCI applications that monitors human activity in any scenario. BCI multimodal domain applications are encouraged to extend and use this ontology in their implementations. @en
  • a4bdg - aerOS Building ontology
    https://w3id.org/aerOS/building
    Ontology that defines the conceptual model for the Pilot 5 - Smart Building use case @en
  • cdc - CDC: Construction Dataset Context ontology
    https://w3id.org/cdc
    The Construction Dataset Context (CDC) ontology is an extension of DCAT v2.0, a W3C Recommendation ontology for describing (RDF and non-RDF) datasets published on the Web. Using this extension, it becomes possible to describe a context for construction-related datasets that are being distributed using Web technology as well as datasets that are not shared outside an organization such as local copies, work in progress and other datasets that remain internal. This dataset metadata encompasses the temporal context (period or snapshot), the type of content of the dataset (as-built, design, etc.) and relations between contextualized datasets (previous as-built, requirements related to a design, etc.). In addition, this DCAT extension also provides terminology for managing dataset distributions that are scoped to a certain (named or default) graph of an RDF file or quadstore. @en