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RDF Schema

RDF Schema (Resource Description Framework Schema, variously abbreviated as RDFS, RDF(S), RDF-S, or RDF/S) is a set of classes with certain properties using the RDF extensible knowledge representation data model, providing basic elements for the description of ontologies. It uses various forms of RDF vocabularies, intended to structure RDF resources. RDF…

Products, Examples of RDF vocabularies & Terminology

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Explore the main themes, entities and connections around RDF Schema. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Examples of RDF vocabularies

10 related topics

Terminology

7 related topics

RDFS entailment

1 related topics

Overview

8 related topics

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Abbreviation
RDFS
Base standards
RDF
Domain
Semantic Web · Ontologies in computer science · Knowledge representation
Editors
Dan Brickley · Ramanathan V. Guha · Andrew Layman (former editor)
First published
April 30, 2002; 24 years ago (2002-04-30)
Latest version
1.1 (Recommendation) February 25, 2014; 12 years ago (2014-02-25)

Topics to explore

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Overview

Terminology

RDFS entailment

Examples of RDF vocabularies

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

RDF Schema

Nodes31
Edges30
Triples43
Avg. degree1.94
Density0.064516
Components1

How this topic connects Entity context

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RDF Schema

Top relations

related to Examples of RDF vocabularies · 20
RDF Schema → Congress, Dublin Core, FOAF, FOAF Vocabulary Specification, From, It, July, LIS, MADS/RDF, Metadata Authority Description Schema, OWL, OWL RDF/XML, RDF, RDFa, RDFS, Simple Knowledge Organization System, SKOS, SKOS XL Vocabulary, The Library, The UniProt
Organization · 5
RDF Schema → Google, Microsoft, Netscape, University of Bristol, W3C
Domain · 3
RDF Schema → Knowledge representation, Ontologies in computer science, Semantic Web
Editors · 3
RDF Schema → Andrew Layman (former editor), Dan Brickley, Ramanathan V. Guha
Related standards · 2
RDF Schema → OWL, SPARQL
Abbreviation · 1
RDF Schema → RDFS
Base standards · 1
RDF Schema → RDF
First published · 1
RDF Schema → April 30, 2002; 24 years ago (2002-04-30)
Latest version · 1
RDF Schema → 1.1 (Recommendation) February 25, 2014; 12 years ago (2014-02-25)
Status · 1
RDF Schema → W3C Recommendation

Important terminology Word statistics

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

rdfs rdf entailment classes owl schema resource example properties knowledge web description sparql following inferencing data language ontologies w3c also

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
RDF SchemaAbbreviationRDFS1.00infobox
RDF SchemaBase standardsRDF1.00infobox
RDF SchemaDomainSemantic Web1.00infobox
RDF SchemaDomainOntologies in computer science1.00infobox
RDF SchemaDomainKnowledge representation1.00infobox
RDF SchemaEditorsDan Brickley1.00infobox
RDF SchemaEditorsRamanathan V. Guha1.00infobox
RDF SchemaEditorsAndrew Layman (former editor)1.00infobox
RDF SchemaFirst publishedApril 30, 2002; 24 years ago (2002-04-30)1.00infobox
RDF SchemaLatest version1.1 (Recommendation) February 25, 2014; 12 years ago (2014-02-25)1.00infobox
RDF SchemaOrganizationW3C1.00infobox
RDF SchemaOrganizationGoogle1.00infobox
RDF SchemaOrganizationMicrosoft1.00infobox
RDF SchemaOrganizationNetscape1.00infobox
RDF SchemaOrganizationUniversity of Bristol1.00infobox
RDF SchemaRelated standardsOWL1.00infobox
RDF SchemaRelated standardsSPARQL1.00infobox
RDF SchemaStatusW3C Recommendation1.00infobox
RDF SchemaWebsitewww.w3.org/TR/rdf-schema/1.00infobox
RDF SchemaYear startedJanuary 5, 1999; 27 years ago (1999-01-05)1.00infobox

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
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