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An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en
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A hypermedia specification for fragmenting collections. @en
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The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @en
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Ontology for surveys based on the Coney data model. @en
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Ontology including the content ontology design pattern for modelling objects with states. @en
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A general purpose ontology for observable properties. The ontology supports description of both qualitative and quantitative properties. The allowed scale or units of measure may be specified. A property may be linked to substances-or-taxa and to features or realms, if they play a role in the definition. @en
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Vocabulary for Linked Data Visualization Model (LDVM) serves for description and configuration of components and pipelines according to LDVM @en
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An OWL vocabulary for describing normative requirements. @en
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A Vocabulary for Incorporating Predictive Models into the Linked Data Web @en
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TheSPITFIRE Ontology (spt) is based on the alignment among Dolce+DnS Ultralite(dul), the W3C Semantic Sensor Network ontology (ssn) and the Event Model-F ontology (event). @en
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A vocabulary for representing statistical data on the Web. Note :The SCOVO vocabulary is deprecated. We strongly advise to use the Data Cube Vocabulary instead. @en
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The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @en
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The Measurement Ontology is an ontology in which measurements may be rendered @en
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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
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This document describes functions which transform HTTP representations, i.e., the actual literal payloads of HTTP messages. @en