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Web Ontology Language

The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies. Ontologies are a formal way to describe taxonomies and classification networks, essentially defining the structure of knowledge for various domains: the nouns representing classes of objects and the verbs representing relations between the objects.

History, Overview & Semantics

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

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Key facts & relationships

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

Abbreviation
OWL
Base standards
Resource Description Framework, RDFS
Domain
Semantic Web
Editors
Mike Dean (BBN Technologies), Guus Schreiber
Related standards
SHACL
Status
Published

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Ontology languages for the web

Ontologies

Species

Semantics

Public ontologies

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

Web Ontology Language

Nodes72
Edges71
Triples61
Avg. degree1.97
Density0.027778
Components1

How this topic connects Entity context

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Web Ontology Language

Top relations

see also · 29
Web Ontology Language → Agricultural Sciences, Artificial, Constraints Language, Formal, Framework, Global, Group, International Information System, Logic, Metaclass, MOF, Object Facility, Object Management Group, OWL, ProtocolSHACL, RDF, Semantic Web, Shapes, Simple Semantic Web Architecture, Software
related to Ontology languages for the web · 19
Web Ontology Language → Agent Markup Languages, DAML, DARPA, DL, European Union's Information Society, In, In March, IST, James Hendler, Joint EU/US Committee, Joint Working Group, OIL, OWL, OWL's, RDFS, Technologies, The EU/US, This, United States
Abbreviation · 1
Web Ontology Language → OWL
Base standards · 1
Web Ontology Language → Resource Description Framework, RDFS
Domain · 1
Web Ontology Language → Semantic Web
Editors · 1
Web Ontology Language → Mike Dean (BBN Technologies), Guus Schreiber
Related standards · 1
Web Ontology Language → SHACL
Status · 1
Web Ontology Language → Published
Website · 1
Web Ontology Language → OWL Reference
Year started · 1
Web Ontology Language → 2004; 22 years ago

Important terminology Word statistics

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

Important terminology

owl ontology rdf description ontologies dl languages web logic family w3c rdfs language formal syntax full owl2 semantics world semantic

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Web Ontology LanguageAbbreviationOWL1.00infobox
Web Ontology LanguageBase standardsResource Description Framework, RDFS1.00infobox
Web Ontology LanguageDomainSemantic Web1.00infobox
Web Ontology LanguageEditorsMike Dean (BBN Technologies), Guus Schreiber1.00infobox
Web Ontology LanguageRelated standardsSHACL1.00infobox
Web Ontology LanguageStatusPublished1.00infobox
Web Ontology LanguageWebsiteOWL Reference1.00infobox
Web Ontology LanguageYear started2004; 22 years ago1.00infobox
corporate databases.The OWL languages are characterized by formal semanticsinstance ofClass hierarchies on the other hand tend to be fairly static and rely on far less diverse and more structured sources of data0.80text
Pelletinstance ofsoon found its way into semantic editors such as Protégé and semantic reasoners0.80text
RacerProinstance ofsoon found its way into semantic editors such as Protégé and semantic reasoners0.80text
FaCTinstance ofsoon found its way into semantic editors such as Protégé and semantic reasoners0.80text

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

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    Min side: 3
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