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  • 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
  • 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
  • tb - Timebank Ontology
    https://w3id.org/timebank
    An ontology to describe people and requests for timebanks. This includes the poeple's skills, limitations, and environment. @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-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
  • vair - Vocabulary of AI Risks
    https://w3id.org/vair
    VAIR is a taxonomy of AI and risk concepts. @en
  • td - Thing Description Ontology
    https://www.w3.org/2019/wot/td
    This ontology aims to model the Web of Things domain according to the W3C Interest Group (http://w3c.github.io/wot/) @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