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seasfo - The SEAS Forecasting ontology https://w3id.org/seas/ForecastingOntology The SEAS Forecasting ontology extends the [Procedure Execution ontology (PEP)](https://w3id.org/pep/) @en -
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 -
seasbo - The SEAS Building Ontology https://w3id.org/seas/BuildingOntology The SEAS Building ontology describes a taxonomy of buildings, building spaces, and rooms. Some categorizations are based on the energy efficiency related to their insulation etc., although the actual values for classes depend the country specific regulations and geographical locations. Other categorizations are based on occupancy and activities. There is no single accepted categorization available. This taxonomy uses some types selected from: - International building occupancy based categories (USA) - The Classification of Types of Constructions (EU) - Finnish building categorization VTJ2000 (Finland) - Wikipedia category page for Rooms: https://en.wikipedia.org/wiki/Category:Rooms @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 -
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 -
rdfp - The RDF Presentation ontology https://w3id.org/rdfp/ ## RDF Presentation and RDF Presentation Negotiation An RDF graph can be presented in several ways, using different media types. Examples of RDF media types include `application/rdf+xml`, `text/turtle`, `application/json+ld`. Today, most of the content consumed/produced/published, on the Web is not presented in RDF. In the Web of Things, HTTP servers and clients would rather exchange lightweight documents, potentially binary. Currently, most existing RDF Presentations generically apply to any RDF graph, at the cost of being heavy text-based documents. Yet, lightweight HTTP servers/clients could be better satisfied with consuming/producing/publishing lightweight documents, may its structure be application-specific. @en -
saont - The System Accountability Ontology https://w3id.org/sao An ontology to model accountability of generic systems. @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 -
rto - Rail Topology Ontology https://w3id.org/rail/topo# The Rail Topology Ontology models foundational rail topology concepts.. @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