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  • 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
  • seas-stats - The SEAS Statistics ontology.
    https://w3id.org/seas/StatisticsOntology
    This ontology defines common evaluation interpretation concepts for statistics. @en
  • seas-eval - The SEAS Evaluation ontology
    https://w3id.org/seas/EvaluationOntology
    The Evaluation ontology describes evaluation of [`seas:Property`ies](https://w3id.org/seas/Property). There may be: - direct evaluations, or - qualified evaluations. @en
  • rbdoc - RiverBench documentation ontology
    https://w3id.org/riverbench/schema/documentation
    Ontology with metadata needed to generate documentation of datasets, distributions, profiles, etc. in RiverBench @en
  • rb - RiverBench metadata ontology
    https://w3id.org/riverbench/schema/metadata
    Ontology for describing datasets and profiles in the RiverBench benchmark suite. @en
  • rdfc - RDF Connect Ontology
    https://w3id.org/rdf-connect/ontology
    An ontology for describing programming language-specific runners, processors and pipelines in RDF-based data processing frameworks. @en
  • sbeo - SBEO: Smart Building Evacuation Ontology
    https://w3id.org/sbeo
    Smart Building Evacuation Ontology (SBEO) is an ontology that couples the information about any building with its occupants such that it can be used in many useful ways. For example, indoor localization of people, detection of any hazard, a recommendation of normal routes such as shopping or stadium seating routes, or safe and feasible emergency evacuation routes or both of them all together. The core SBEO covers the concepts related to the geometry of building, devices and components of the building, route graphs correspondent to the building topology, users' characteristics and preferences, situational awareness of both building (hazard detection, status of routes in terms of availability and occupancy) and users (tracking, management of groups, status in terms of fitness), and emergency evacuation. @en
  • rains - The RAInS Ontology
    https://w3id.org/rains
    An ontology to model accountability of AI systems which use machine learning. @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
  • 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
  • seasto - The SEAS Trading ontology
    https://w3id.org/seas/TradingOntology
    The Seas Trading Ontology defines concepts and relations to describe ownership, trading, bilateral contracts and market licenses: - players own systems and trade commodities, which have a price; - bilateral electricity contracts are connections between electricity traders at which they exchange electricity; - electricity markets are connections between electricity traders at which they exchange electricity, using a market license; - electricity markets can be cleared, and balanced; - evaluations can have a traded volume validity context @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