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  • seas - SEAS ontology
    https://w3id.org/seas/
    This vocabulary is version v0.1 of the ITEA2 Smart Energy Aware Systems project vocabulary. It enables the description of electricity measurements of a site using the Data Cube W3C vocabulary. @en
  • seasb - The SEAS Battery ontology.
    https://w3id.org/seas/BatteryOntology
    This ontology defines batteries and their state of charge ratio property. @en
  • react - The REACT Ontology
    https://w3id.org/react
    The REACT ontology aims to represent all the necessary knowledge to support the achievement of island energy independence through renewable energy generation and storage, a demand response platform, and promoting user engagement in a local energy community. The REACT ontology has been developed as part of the REACT project which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 824395. @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
  • tido - The Threat Intelligence Decision Ontology
    https://w3id.org/tido#
    The TIDO ontology can be used to describe the decision processes within the threat intelligence domain @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
  • sri - Smart Readiness Indicator Vocabulary
    https://w3id.org/sri
    A vocabulary specifying concepts and structures needed to represent different data cubes needed for the Smart Readiness Indicator. @en