167
results
-
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 -
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 -
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 -
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 -
lh - LegalHTML Ontology https://w3id.org/legalhtml/ov An ontology for metadata about legal texts represented using the LegalHTML format @en -
ontouml - OntoUML Metamodel Vocabulary https://w3id.org/ontouml A reference implementation of the OntoUML metamodel in OWL. @en -
noria - The NORIA Ontology https://w3id.org/noria/ontology/ The NORIA-O project is a data model for IT networks, events and operations information. The ontology is developed using web technologies (e.g. RDF, OWL, SKOS) and is intended as a structure for realizing an IT Service Management (ITSM) Knowledge Graph (KG) for Anomaly Detection (AD) and Risk Management 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: - [BBO](https://hal.archives-ouvertes.fr/hal-02365012/) 1.0.0 - [BOT](https://w3id.org/bot/) 0.3.2 - [DevOps-Infra](https://oeg-upm.github.io/devops-infra/) 1.0.0 - [FOLIO](https://github.com/IBCNServices/Folio-Ontology) 1.0.0 - [ORG](https://www.w3.org/TR/vocab-org/) 0.8 - [PEP](https://w3id.org/pep/) 1.1 - [SEAS](https://w3id.org/seas/) 1.1 - [SLOGERT](https://sepses.ifs.tuwien.ac.at/ns/log/index-en.html) 1.1.0 - [UCO](https://github.com/ucoProject/uco) Release-0.8.0 @en -
ocmv - OntoUML/UFO Catalog Metadata Vocabulary https://w3id.org/ontouml-models/vocabulary Specification of the metadata used to describe models in the OntoUML/UFO Catalog. @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 -
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