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tro - Transparent Relations Ontology https://w3id.org/TRO A vocabulary to represent relations that should be more transparent, usually between powerfull people or institutions @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 -
coach - Character of a Character Ontology (COACH) https://w3id.org/coach# This ontology describes a person character as a vector of demographic traits, each dimension refers to a concept contained within a specific taxonomy or to an instance of a wikidata item. @en -
dpv - Data Privacy Vocabulary (DPV) https://w3id.org/dpv The Data Privacy Vocabulary (DPV) provides terms (classes and properties) to represent information about processing of personal data, for example - purposes, processing operations, personal data, technical and organisational measures. @en -
pd - Personal Data Categories https://w3id.org/dpv/pd Extension to the Data Privacy Vocabulary (DPV) providing additional categories of personal data @en -
pghdprovo - Patient Generated Health Data Provenance Ontology https://w3id.org/pghdprovo Patient Generated Health Data (PGHD) refer to health data collected by patient or their relatives. This ontology seeks to capture information about the data, the provenance and data quality associated with PGHD shared with an EHR. @en -
seasbo - The SEAS Building Ontology https://w3id.org/seas/BuildingOntology The SEAS Building ontology describes a taxonomy of buildings, building spaces, and rooms. Some categorizations are based on the energy efficiency related to their insulation etc., although the actual values for classes depend the country specific regulations and geographical locations. Other categorizations are based on occupancy and activities. There is no single accepted categorization available. This taxonomy uses some types selected from: - International building occupancy based categories (USA) - The Classification of Types of Constructions (EU) - Finnish building categorization VTJ2000 (Finland) - Wikipedia category page for Rooms: https://en.wikipedia.org/wiki/Category:Rooms @en -
sulo - Simplified Upper Level Ontology https://w3id.org/sulo/sulo/ The Simplified Upper Level Ontology (SULO) is ontology with a minimal set of classes and relations to guide the development of a personal health knowledge graph. @en -
modsci - ModSci, Modern Science Ontology. https://w3id.org/skgo/modsci# ModSci is a reference ontology for modelling different types of modern sciences and related entities, such as scientific discoveries, renowned scientists, instruments, phenomena ... etc. @en -
vair - Vocabulary of AI Risks https://w3id.org/vair VAIR is a taxonomy of AI and risk concepts. @en -
gleif-L1 - Global Legal Entity Identifier Foundation Level 1 Ontology - Who Is Who https://www.gleif.org/ontology/L1/ Ontology for legal entity identifier registration. It was designed for Global Legal Entity Identifier Foundation (GLEIF) Level 1 data corresponding to the Common Data Format version 2.1. It covers key reference data for a legal entity identifiable with an LEI. The ISO 17442 standard developed by the International Organization for Standardization defines a set of attributes or LEI reference data that comprises the most essential elements of identification. It specifies the minimum reference data, which must be supplied for each LEI: The official name of the legal entity as recorded in the official registers. The registered address of that legal entity. The country of formation. The codes for the representation of names of countries and their subdivisions. The date of the first LEI assignment; the date of last update of the LEI information; and the date of expiry, if applicable. @en -
gleif-L2 - Global Legal Entity Identifier Foundation Level 2 Ontology - Who Owns Whom https://www.gleif.org/ontology/L2/ Ontology for legal entity parent relationships. It was designed for Global Legal Entity Identifier Foundation (GLEIF) Level 2 data corresponding to the Relationship Record format, version 1.1. Legal entities that have or acquire an LEI report their ‘direct accounting consolidating parent’ as well as their ‘ultimate accounting consolidating parent’, or for International Branches ‘is an International Branch of'. Otherwise they must provide a Reporting Exception. @en