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  • mdoprov - Materials Design Ontology - Provenance Module
    https://w3id.org/mdo/provenance/
    This is the provenance module of Materials Design Ontology. @en
  • icb - isCharacterisedBy ontology design pattern
    https://w3id.org/isCharacterisedBy
    The goal of this ontology design pattern is to characterise a subject or group of subjects of interest by assigning qualifiable or quantifiable attributes or characteristics. @en
  • peco - The Provenance of Emission Calculations Ontology
    https://w3id.org/peco
    This ontology defines a vocabulary for describing provenance traces of carbon emission calculations by capturing the quantifiable measurements of carbon emission sources used by some activities (e.g., electricity used by a machinery to produce a product, petrol used to make a car journey, etc.) and emission conversion factors used to estimate the carbon emissions produced by these. In addition, the ontology provides the ability to capture various data transformations that occurred before energy estimates may be used with relevant conversion factors. For example, sensors may provide raw readings about a water flow of an irrigation rig in an agri-food operation which is then used as a proxy to estimate the total volume of fertilisers used. @en
  • pko - Procedural Knowledge Ontology (PKO)
    https://w3id.org/pko
    The Procedural Knowledge Ontology (PKO) addresses the Procedural Knowledge (PK) domain, and models procedures, their executions, and related resources and agents. @en
  • swemls - Semantic-Web Machine Learning System (SWeMLS) Ontology
    https://w3id.org/semsys/ns/swemls
    An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en
  • seast - The SEAS Time Ontology.
    https://w3id.org/seas/TimeOntology
    This ontology defines: - a set of subclasses of `seas:Evaluation` to better interpret evaluations of quantifiable properties. - a set of sub properties of `seas:hasProperty` to qualify time-related properties. @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
  • 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
  • tree - TREE
    https://w3id.org/tree
    A hypermedia specification for fragmenting collections. @en
  • tribont - TribOnt ontology
    https://w3id.org/tribont
    The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @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
  • 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-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