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FOAF

FOAF (an acronym of friend of a friend) is a machine-readable ontology describing persons, their activities and their relations to other people and objects. Anyone can use FOAF to describe themselves. FOAF allows groups of people to describe social networks without the need for a centralised database.

Deployment, Overview & Example

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Research this topic

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

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Deployment

Live JournalDeadJournalMy OperaIdenti.caFriendFeed
15 related topics

Overview

Friend of a friendMachine-readableOntologyPersonsSocial networks
19 related topics

Example

TurtleWeb resources
2 related topics

WebID

WebID
1 related topics

Key facts & relationships

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

Abbreviation
FOAF
Authors
Dan Brickley, Libby Miller
Base standards
RDF, OWL
Domain
Semantic Web
First published
June 3, 2005; 21 years ago (2005-06-03)
Latest version
0.99 January 14, 2014; 12 years ago (2014-01-14)

Topics to explore

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

Overview

WebID

Deployment

Example

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

FOAF

Nodes42
Edges41
Triples46
Avg. degree1.95
Density0.047619
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

FOAF

Top relations

related to Deployment · 17
FOAF → Although, DeadJournal, Firefox, For, FriendFeed, Identi, Live Journal, MediaWiki, My Opera, Prominent, RSS, Safari, Semantic MediaWiki, Semantic Radar, TypePad, WordPress, Yandex
related to Example · 9
FOAF → Angela Beesley, He, His, James Wales, Person, RDF, The, Turtle, Wikimedia
related to External links · 5
FOAF → Archived, FOAF-search, October, Official, Wayback Machine
related to WebID · 3
FOAF → SSL, TLS, WebID
Abbreviation · 1
FOAF → FOAF
Authors · 1
FOAF → Dan Brickley, Libby Miller
Base standards · 1
FOAF → RDF, OWL
Domain · 1
FOAF → Semantic Web
First published · 1
FOAF → June 3, 2005; 21 years ago (2005-06-03)
Latest version · 1
FOAF → 0.99 January 14, 2014; 12 years ago (2014-01-14)

Important terminology Word statistics

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

Important terminology

web rdf people semantic profile relationships ontology friend social owl example support resource profiles name use describe networks vocabulary defining

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
FOAFAbbreviationFOAF1.00infobox
FOAFAuthorsDan Brickley, Libby Miller1.00infobox
FOAFBase standardsRDF, OWL1.00infobox
FOAFDomainSemantic Web1.00infobox
FOAFFirst publishedJune 3, 2005; 21 years ago (2005-06-03)1.00infobox
FOAFLatest version0.99 January 14, 2014; 12 years ago (2014-01-14)1.00infobox
FOAFLicenseCC BY 1.01.00infobox
FOAFSeriesNamespace Document1.00infobox
FOAFStatusPublished1.00infobox
FOAFWebsitexmlns.com/foaf/spec/1.00infobox
FOAFYear started2000; 26 years ago (2000)1.00infobox
FOAFis adescriptive vocabulary expressed using the Resource Description Framework0.90text

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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