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http - HTTP in RDF http://www.w3.org/2011/http A namespace for describing HTTP messages (http://www.w3.org/Protocols/rfc2616/rfc2616.html) @en -
wdrs - Protocol for Web Description Resources http://www.w3.org/2007/05/powder-s The Protocol for Web Description Resources (POWDER) allows metadata to be associated with groups of resources such as those found on a Web site. @en -
ldp - Linked Data Platform http://www.w3.org/ns/ldp# A set of best practices and simple approach for a read-write Linked Data architecture, based on HTTP access to web resources that describe their state using the RDF data model. @en -
mls - Machine Learning Schema http://www.w3.org/ns/mls ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en -
ssn - Semantic Sensor Network Ontology http://www.w3.org/ns/ssn/ This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @en -
uiot - Urban IoT Ontologies - Core Module http://www.w3id.org/urban-iot/core Core module of the suite of ontologies for urban IoT devices. @en -
uiote - Urban IoT Ontologies - Electric Mobility Module http://www.w3id.org/urban-iot/electric Electric Mobility module of the suite of ontologies for urban IoT devices. @en -
wl - WSMO-Lite Ontology http://www.wsmo.org/ns/wsmo-lite# WSMO-Lite is a lightweight approach to the semantic annotation of Web service descriptions, defined by the STI2 working group Conceptual Models for Services @en -
sosa - Sensor, Observation, Sample, and Actuator (SOSA) Ontology http://www.w3.org/ns/sosa/ This ontology is based on the SSN Ontology by the W3C Semantic Sensor Networks Incubator Group (SSN-XG), together with considerations from the W3C/OGC Spatial Data on the Web Working Group. @en -
caso - Context Aware System Observation Ontology http://www.w3id.org/def/caso# CASO (Context Aware System Observation) is an ontology for context aware system and observation services. Its goal is to describe all the processing of the context. @en -
atts - Air Traffic Temporal and Spacial Vocabulary https://data.nasa.gov/ontologies/atmonto/general# Defines temporal / spatial concepts and general-purpose datastructures @en -
tresiot - Ontology for Trust Recommendation in Social Internet of Things https://liidr.org/trust-recommendation-in-social-internet-of-things/ This ontology models trust recommendation concepts in SIoT to bridge the gap between abstract trust concepts and real-world device concepts. @en -
atd - Air Traffic Data https://data.nasa.gov/ontologies/atmonto/data# Defines concepts related to airport status, including weather, forecasts, and airport operations @en -
tfo - Transformation Functions Ontology https://privatealpha.com/ontology/transformation/1# This document describes functions which transform HTTP representations, i.e., the actual literal payloads of HTTP messages. @en -
vas - VAS. A Semantic Model for Earth Observation Remote Sensing https://robotica.uv.es/proyectos/ASOTVAS/def/ciencia-tecnologia/vas The VAS ontological model enables the semantic integration of the heterogeneous observations used in ASOTVAS project ( https://robotica.uv.es/proyectos/ASOTVAS/ ), including ground measurements, UAV acquisitions and satellite products. Built as an extension of the W3C SOSA ontology (Janowicz et al., 2018), it incorporates a domain-specific vocabulary tailored to the needs of the Valencia Anchor Station as a CEOS LPV supersite. The model provides additional classes and properties to represent, in a homogeneous way, the different observational platforms: field sensors installed at VAS stations, UAVs equipped with multispectral cameras, and satellite missions such as Sentinel-2 and Sentinel-3. All observations follow a common SOSA pattern and share the same structure for results, units and timestamps. By aligning field, UAV and satellite observations under a unified semantic framework, the VAS ontology supports interoperable data access, consistent representation across scales, and integrated analysis of the multi-source measurements collected in ASOTVAS. @en