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  • aeros - aerOS Continuum Ontology
    https://w3id.org/aerOS/continuum#
    Ontology for the orchestration of the aerOS continuum. @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
  • 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
  • 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
  • cocoon - Cloud Computing Services Ontology
    https://w3id.org/cocoon/v1.0
    Simple ontology for Cloud Computing Services. This ontology allows to define model of prices used in large cloud computing providers such as Google, Amazon, Azure, etc., including options for regions, type of instances, prices specification, etc. @en
  • dseco - The DNS Security Ontology
    https://w3id.org/dseco/ontology/
    The DNS Security Ontology (DSecO) project is a data model for representing and reasoning on Domain Name System (DNS) data. The ontology is developed using web technologies (e.g. RDF, OWL, SKOS) and is intended as a structure for realizing a DNS Knowledge Graph (KG) for administration and security assessment applications. The model has been developed in collaboration with operational teams, and in connection with third parties linked vocabularies. Alignment with third parties vocabularies is implemented on a per class or per property basis when relevant (e.g. with `rdfs:subClassOf`, `owl:equivalentClass`). Directions for direct instanciation of these vocabularies are provided for cases where implementing a class/property alignment is redundant. Alignment holds for the following vocabulary releases: - [ORG](https://www.w3.org/TR/vocab-org/) 0.8 - [UCO](https://github.com/ucoProject/uco) Release-0.8.0 @en
  • dio - The Design Intent Ontology
    https://w3id.org/dio
    The scope of the DIO is the domain of design intent or design rationale that needs to be documented while undertaking the design of any artifact @en
  • dg - DINGO Ontology
    https://w3id.org/dingo/
    The DINGO ontology (Data Integration for Grant Ontology) defines the terms of the DINGO vocabulary and provides a machine readable extensible framework to model data relative to projects, funding, project and funding actors, and, notably, funding policies. It is designed to yield high modeling power and elasticity to cope with the huge variety in funding and project practices, which makes it applicable to many areas where funding is an important aspect: first of all research, but also the arts, cultural conservation, and many others. @en
  • pd - Personal Data Categories
    https://w3id.org/dpv/pd
    Extension to the Data Privacy Vocabulary (DPV) providing additional categories of personal data @en
  • ctrl - CTRLont - An ontology to formally specify the control domain
    https://w3id.org/ibp/CTRLont
    CTRLont specifies concepts and relationships of control actors on a high level @en
  • ids - IDS Information Model
    https://w3id.org/idsa/core
    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
  • lto - Library Transaction Ontology
    https://w3id.org/lto
    A FAIR-compliant metadata vocabulary (MV), the Library Transaction Ontology (LTO), is designed and developed for representing and managing library transaction data (LTD), including circulation, interlibrary loan, hold requests, and fiscal information. Our investigation revealed that despite significant focus on bibliographic and authority data, no standardized vocabulary exists for LTD, resulting in data loss, mapping errors, and interoperability challenges during system migration and integration. LTO supports machine processing and automated reasoning for data-driven decision making. Additionally, it supports interoperability across heterogeneous library platforms by providing mappings for the circulation metadata of multiple Library Management Systems (LMS), including Koha, Virtua, Evergreen, SOUL, etc. It is also compliant with the Library of Congress's (LOC) BIBFRAME model and extends the bibliographic Linked Data (LD) framework to support the standardized representation of library transaction LD. LTO?s elements were validated through expert evaluation by LIS professionals, and its effectiveness in information processing and retrieval was successfully assessed. @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
  • 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