Wikidata

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Wikidata topic overview

The analysis highlights Applications and Measurement as prominent areas in the source structure around Wikidata.

Related topics: 67
Source areas: 6
Connected nodes: 73
Extracted relationships: 154
Concept neighborhoods: 22
Bridge connections: 73

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Development · 25 topics

Concept · 16 topics

Overview · 10 topics

Applications · 9 topics

Reception · 6 topics

Content · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

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

Owner: Wikimedia Foundation
Available in: Multiple languages
Commercial: No
Content licence: CC0[a]
Editor: Wikimedia community
Launched: 29 October 2012; 13 years ago (2012-10-29)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Concept

Document-oriented database
Persistent identifier
The American singer and actor Elvis Presley
Self-titled album Elvis Presley (album)
Identifier
Key–value pairs Attribute–value pair
Sir Arthur Conan Doyle
Marie Curie
Linguistics
Lexeme
Lexical Lexical semantics
Lexicographical Lexicography
Russian Russian language
English English language
Shape Expression ShEx
Resource Description Framework

Content

Freebase Freebase (database)

Development

Reception

Open Data Institute
Wikivoyage
Wikiquotes Wikiquote
Wikisources Wikisource
Wikimedia Commons
Digital public good Digital public goods

Applications

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.

How Wikidata connects Entity context

The extracted context around Wikidata shows recurring relationship patterns in the source. For example, Wikidata → April, Aug, Benjamin Karran, Conference, In, Janette Lehmann, Mark Graham, Markus Luczak-Rösch, Open Collaboration, OpenSym, Peer-production, San Francisco, The Atlantic, The Problem With Wikidata, US, USClaudia Müller-Birn, What Another extracted example is Wikidata → AI, Allen Institute, Betty Moore Foundation, Centralising, Creating, Google, Gordon, Inc, Lydia Pintscher, Meta-Wiki, Providing, The, Wikimedia, Wikimedia Deutschland, Wikipedia, Wikipedias. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Further reading · 17

Wikidata → April, Aug, Benjamin Karran, Conference, In, Janette Lehmann, Mark Graham, Markus Luczak-Rösch, Open Collaboration, OpenSym, Peer-production, San Francisco, The Atlantic, The Problem With Wikidata, US, USClaudia Müller-Birn, What

related to Development · 16

Wikidata → AI, Allen Institute, Betty Moore Foundation, Centralising, Creating, Google, Gordon, Inc, Lydia Pintscher, Meta-Wiki, Providing, The, Wikimedia, Wikimedia Deutschland, Wikipedia, Wikipedias

related to Concept · 14

Wikidata → Each, Elvis Presley, Gorilla, Johnny Cash, Q303, Q316, Q36611, Q42775, Q8470, QID, QIDs, Some, Summer Olympics, This

related to Entity schemas · 14

Wikidata → Any, E10, E270, Entity, For, In January, In Wikidata, MediaWiki, RDF, Resource Description Framework, Shape Expression, ShEx, The, This

related to Query service and other improvements · 13

Wikidata → As, Blazegraph, In, It, November, On, Query Builder, September, SPARQL, The, Wikidata Query Service, Wikimedia Deutschland, Wikimedia Foundation

related to Statements and data access · 11

Wikidata → April, Berlin, February, For, Germany, March, On, September, The, Wikimedia Commons, Wikipedia

has application · 10

Wikidata → Amazon Alexa, Apple's Siri, August, Itinerary, LibreOffice Calc, MathQA, Mwnci, Wikidata's, WikidataGoogle, Wikipedia

related to Lexemes · 10

Wikidata → In, In Wikidata, L16168, L3726, Lexicographical, Similarly, Since, The, These, Wikidata's

related to Statements · 9

Wikidata → English, For, Formally, Marie Curie, P462, Q23444, Q8495, Sir Arthur Conan Doyle, Statements

related to Properties · 7

Wikidata → As, Constraints, Each, For, P1647, P36, Properties

Important terminology

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

Important terminology

data wikimedia wikipedia statements item items lexicographical property entries links language example values properties entity project lexemes foundation identifier english

Wikidata relationships Subject–Predicate–Object triples

TTTA extracted 154 structured relationships around Wikidata. Examples in this analysis include Wikidata → Available in → Multiple languages and Wikidata → Commercial → No. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Wikidata	Available in	Multiple languages	1.00	infobox
Wikidata	Commercial	No	1.00	infobox
Wikidata	Content licence	CC0[a]	1.00	infobox
Wikidata	Editor	Wikimedia community	1.00	infobox
Wikidata	Launched	29 October 2012; 13 years ago (2012-10-29)	1.00	infobox
Wikidata	Owner	Wikimedia Foundation	1.00	infobox
Wikidata	Registration	Optional	1.00	infobox
Wikidata	Type of site	Knowledge base	1.00	infobox
Wikidata	Type of site	Wiki	1.00	infobox
Wikidata	URL	wikidata.org	1.00	infobox
Wikidata	is a	collaboratively edited multilingual knowledge graph hosted by the Wikimedia Foundation	0.90	text
Wikidata	is a	wiki powered by the software MediaWiki	0.90	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Wikidata bring nearby vocabulary together. In this analysis, examples include Data, Entries and Statements. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Wikidata
- Data
- Entries
- Statements
- Wikimedia
- Lexicographical
- Wikipedia
- Item
- Items
- Access
- Foundation
- Entity
- Extension
wikidata
- Data
- Entries
- Statements
- Wikimedia
- Lexicographical
- Wikipedia
- Item
- Items
- Access
- Foundation
- Entity
- Extension
open data
- Wikidata
- Items
- Open
- Wikimedia
- Entity
- Extension
- Including
- Commons
- Use
- Uses
- Lexemes
- Project
semi-structured data
- Wikidata
- Items
- Open
- Wikimedia
- Entity
- Extension
- Including
- Commons
- Use
- Lexemes
- Content
- External
english wikipedia
- Links
- Articles
- Language
- Access
- English
- Interlanguage
- Topic
- Wikipedia
- Information
- Wikidata
- External
- Project
data types
- Wikidata
- Items
- Open
- Wikimedia
- Entity
- Extension
- Including
- Commons
- Use
- Lexemes
- Content
- External
data silos
- Wikidata
- Items
- Open
- Wikimedia
- Entity
- Extension
- Including
- Commons
- Use
- Lexemes
- Content
- External
open data institute
- Wikidata
- Items
- Open
- Wikimedia
- Entity
- Extension
- Including
- Commons
- Use
- Uses
- Lexemes
- Project

Connections between topic areas Semantic bridges

For Wikidata, one of the stronger structural bridges in this analysis connects Wikidata with Development. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Wikidata — Development · splits 48 ⟂ 26

Wikidata — Concept · splits 57 ⟂ 17

Wikidata — Overview · splits 63 ⟂ 11

Wikidata — Applications · splits 64 ⟂ 10

Wikidata — Reception · splits 67 ⟂ 7

Map overview Semantic statistics

Wikidata

Nodes74

Edges73

Triples154

Avg. degree1.97

Density0.027027

Components1

Source & methodology

TTTA analyzes the structure around Wikidata to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Wikidata · EN edition · Analysis: TopicsToTalkAbout