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Wikiversity

Wikiversity is a Wikimedia Foundation project that supports learning communities, their learning materials, and resulting activities. It differs from Wikipedia in that it offers tutorials and other materials for the fostering of learning, rather than an encyclopedia. It is available in many languages.

[EN, English, English]

History, Research & Measurement

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Wikiversity. 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.

Key facts & relationships

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

Owner
Wikimedia Foundation
Available in
Multilingual (18 active)
Commercial
No
Created by
Wikimedia community
Launched
August 15, 2006; 20 years ago (2006-08-15)
Registration
Optional

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

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

Overview

History

Project details

Learning resources

Research

Reception

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

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Wikiversity

Nodes31
Edges30
Triples165
Avg. degree1.94
Density0.064516
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

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

Wikiversity

Top relations

related to External links · 84
Wikiversity → Access, An, Annual WONCA Rural Health, April, Archived, Ariadne, Article, Axel Bruns, Beta Wikiversity, Beyond Difference, Bootstrapping, Classroom, Claus Zinn, Community Collaborative Experiences, Conference, Conference Review, Curt Bonk, Cyberspace, Dani Ben-Zvi, Division
related to Languages · 25
Wikiversity → Arabic, Chinese, Currently, Czech, English, English Wikiversity, Finnish, For, French, German, Greek, Hindi, It, Italian, Japanese, June, Korean, Portuguese, Russian, Slovene
related to Reception · 15
Wikiversity → Curtis Bonk, Empowering Online Learning, He, Hoffman, In, It, Ke Zhang, Massachusetts Institute, MIT OpenCourseWare, MIT's, PCWorld, Steven Hoffman, Technology's, Wikimedia Foundation, Wikipedia
related to WikiJournals · 15
Wikiversity → Humanities, Medicine, November, Science, Several, Some, Submitted, The, The WikiJournal User Group, They, This, WikiJournal, WikiJournal User Group, WikiJournals, Wikipedia
related to history · 7
Wikiversity → August, English, However, The, Wikibooks, Wikimedia, Wikiversity's
related to Learning resources · 6
Wikiversity → Creative Commons, GFDL, Learning, Texts, Wikibooks, Wikipedia
is a · 2
Wikiversity → set of WikiJournals which publish peer-reviewed articles in a stable, Wikimedia Foundation project that supports learning communities
related to Research · 2
Wikiversity → Such, Wikipedia
Available in · 1
Wikiversity → Multilingual (18 active)
Commercial · 1
Wikiversity → No

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

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

Important terminology

learning wikipedia resources education project articles research languages 2006 free activities materials community wikimedia projects multilingual active wikijournals foundation beta

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
WikiversityAvailable inMultilingual (18 active)1.00infobox
WikiversityCommercialNo1.00infobox
WikiversityCreated byWikimedia community1.00infobox
WikiversityLaunchedAugust 15, 2006; 20 years ago (2006-08-15)1.00infobox
WikiversityOwnerWikimedia Foundation1.00infobox
WikiversityRegistrationOptional1.00infobox
WikiversityType of siteEducational, self study1.00infobox
WikiversityURLwikiversity.org1.00infobox
Wikiversityis aWikimedia Foundation project that supports learning communities0.90text
Wikiversityis aset of WikiJournals which publish peer-reviewed articles in a stable0.90text
Wikiversityrelated to External linksWikipedia0.60section
Wikiversityrelated to External linksList0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

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

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

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

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.