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gom - GOM: Geometry Metadata Ontology https://w3id.org/gom The Geometry Metadata Ontology contains terminology to Coordinate Systems (CS), length units and other metadata (file size, software of origin, etc.). GOM is designed to be at least compatible with OMG (Ontology for Managing Geometry) and FOG (File Ontology for Geometry formats), and their related graph patterns. In addition, GOM provides terminology for some experimental data structures to manage (marked as vs:term_status = unstable): * transformed geometry (e.g. a prototype door geometry that is reused for all doors of this type). This is closely related to the transformation of Coordinate Systems @en -
eeo - Experimental Evaluation Ontology https://w3id.org/eeo An ontology to describe experiments, evaluations and their relation. @en -
bdi - Belief-Desire-Intention Ontology https://w3id.org/fossr/ontology/bdi/ The BDI Ontology provides a formal framework to model the Belief-Desire-Intention (BDI) architecture for rational agents. It defines key mental states—Beliefs, Desires, and Intentions—and their relationships, capturing the agent’s reasoning, motivation, and commitment to action. Supporting classes include Propositions (content of mental states), Justifications (rationale for mental states), Plans (action sequences for goals), and TimeIntervals (temporal validity of entities). Key properties like hasBelief, hasDesire, and hasIntention link agents to mental states, while fulfills, adoptsIntention, and motivatesDesire model dynamic interactions. Temporal properties enable reasoning about time-sensitive states and plans. Axioms ensure consistency, such as disjointness between mental states and domain-specific constraints. This ontology supports reasoning, querying, and analysis of agent behaviour, enabling applications in AI, multi-agent systems, and decision support. @en -
puv - Parameter Usage Vocabulary ontology https://w3id.org/env/puv A simple ontology which implements the Parameter Usage Vocabulary semantic model, as described at https://github.com/nvs-vocabs/P01 @en -
eppl - The EP-Plan ontology https://w3id.org/ep-plan PROV extension for linking Plans and parts of plans to their respective executions. @en -
chameo - CHAracterisation MEthodology Ontology https://w3id.org/emmo/domain/characterisation-methodology/chameo CHAMEO is a domain ontology designed to model the common aspects across the different characterisation techniques and methodologies. @en -
ishi - Ishikawa diagram ontology https://w3id.org/ishikawa-diagram-ontology The Ishikawa ontology aims to provide a data and view model to manage data encoded in Ishikawa diagrams which are also known as fishbone or cause and effect diagram (CED). Ishikawa diagrams result from (iterative) workshops. Thus, the ontology includes the basic modelling of workshops to create Ishikawa diagrams. @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 -
authn_provider - Authentication Provider https://w3id.org/inrupt/namespace/vocab/authn_provider/ Information about authentication providers which might be identity providers or other services such as ones providing JSON Web Tokens. @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 -
mdoprov - Materials Design Ontology - Provenance Module https://w3id.org/mdo/provenance/ This is the provenance module of Materials Design Ontology. @en -
intro - INTRO: the intertextual, interpictorial, and intermedial relations ontology https://w3id.org/lso/intro/beta202408 INTRO is an ontology for the fields of literary studies, art studies and intermediality studies for the representation of intertextual, interpictorial, and intermedial relations. It enables the presentation and categorization of diverse features of both textual and pictorial origin and their linking. Its subject area includes the scholarly discourse on these texts/images, interrelations, and features, insofar as research results are also understood as texts with features and relations. @en -
isoprops - ISO 23386 Property Ontology (ISOProps) https://w3id.org/isoprops The ISO Property (ISOProps) ontology maps the data model of the ISO 23386 for the describing, creating, and maintenance of properties in interconnected data dictionaries. The namespace for ISOProps terms is [https://w3id.org/isoprops](https://w3id.org/isoprops) The preferred prefix for the ISOProps namespace is `isoprops`. ## Ontology Overview  ## Assigning an ISOProps Property to a Feature of Interest  ## Relation between DCAT vocabulary and the ISOProps ontology  @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 -
modp - Metadata for Ontology Description and publication https://w3id.org/mod Metadata for Ontology Description and publication @en