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  • gist - gist ontology
    https://w3id.org/semanticarts/ontology/gistCore
    gist is a minimalist upper ontology created by Semantic Arts. @en
  • spectra - SPECTRA: A Traceability Ontology for 3GPP RAN Standardization
    https://w3id.org/spectra
    OWL 2 ontology modeling the 3GPP RAN standardization document lifecycle (Tdoc, Resolution, CR, LS, Section, Spec, TechnicalReport, TRImpact, Meeting, Company, WorkingGroup). Designed from RAN1 competency questions and validated by cross-WG instantiation against RAN2-RAN5 with no additional process-layer classes required. Also declares six entity-layer classes (RRCParameter, CapabilityItem, Feature, Procedure, PerformanceRequirement, ConformanceTest) modeling spec-body entities: ASN.1 IEs, UE capability items, named standardization features, protocol procedures, performance requirements, and conformance test specifications. @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
  • sw-quality - SQuAP Ontology
    https://w3id.org/squap/
    Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been poorly studied, so far. The SQuAP model (Software Quality, Architecture, Process) describes twenty-eight main factors that impact on software quality in banking systems, and each factor is described as a relation among some characteristics from the three ISO standards. Hence, SQuAP makes such relations emerge rigorously, although informally. SQaAP-Ont is an OWL ontology that formalises those relations in order to represent and reason via Linked Data about software engineering in a three-dimensional model consisting of quality, architecture, and process characteristics. @en
  • todo - TODO: Task-Oriented Dialogue management Ontology
    https://w3id.org/todo
    With the aim of enhancing natural communication between workers in industrial environments and the systems to be used by them, TODO (Task-Oriented Dialogue management Ontology) has been developed to be the core of task-oriented dialogue systems. TODO is a core ontology that provides task-oriented dialogue systems with the necessary means to be capable of naturally interacting with workers (both at understanding and at ommunication levels) and that can be easily adapted to different industrial scenarios, reducing adaptation time and costs. Moreover, it allows to store and reproduce the dialogue process to be able to learn from new interactions. @en
  • tddfa - TODODFA: Frame-Action Module for Task-Oriented Dialogue management Ontology (TODO)
    https://w3id.org/todo/tododfa
    Module for Action (and Frame) modelling inside domain. @en
  • tddial - TODODial: Dialogue Module for Task-Oriented Dialogue management Ontology (TODO)
    https://w3id.org/todo/tododial
    Module for dialogue process and system output management. @en
  • tddm - TODODM: Dialogue Management Module for Task-Oriented Dialogue management Ontology (TODO)
    https://w3id.org/todo/tododm
    Module for dialogue process and system output management. @en
  • tddt - TODODT: Dialogue Tracing Module for Task-Oriented Dialogue management Ontology (TODO)
    https://w3id.org/todo/tododt
    Module for dialogue tracing. @en
  • tddw - TODODW: World Module for Task-Oriented Dialogue management Ontology (TODO)
    https://w3id.org/todo/tododw
    Module for scenario modelling (world elements) of domain. @en
  • tddom - TODODom: Domain Module for Task-Oriented Dialogue management Ontology (TODO)
    https://w3id.org/todo/tododom
    Module for domain modelling. @en
  • xbrll - A lightweight XBRL vocabulary
    https://w3id.org/vocab/xbrll
    An attempt to publish XBRL standard following best practices on the Web. Not an official version from XBRL International and under development @en
  • gleif-elf - Entity Legal Form Ontology
    https://www.gleif.org/ontology/EntityLegalForm/
    Ontology defining concepts for Entity Legal Forms and their abbreviations by jurisdiction, based on ISO 20275. Though used by Global Legal Entity Identifier Foundation (GLEIF) for Legal Entity Identifier registration, it is more broadly applicable. @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-base - Global Legal Entity Identifier Foundation Base Ontology
    https://www.gleif.org/ontology/Base/
    Ontology defining generic concepts for reuse by other Global Legal Entity Identifier Foundation (GLEIF) ontologies. It defines generic classes for (legal) Entities and their relationships and statuses; and generic properties for different types of name and address. It makes use of the OMG Languages Countries and Codes (LCC) ontology (based on the ISO 3166 standard) for country and region information. @en