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: 66
Source areas: 6
Connected nodes: 72
Extracted relationships: 107
Related term clusters: 22
Bridge connections: 72

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 · 24 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
Content licence: CC0[a]
Editor: Wikimedia community
Launched: 29 October 2012; 13 years ago (2012-10-29)
Registration: Optional

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Wikidata

10Wiki · Knowledge graph · Wikimedia Foundation

25Document-oriented database · Persistent identifier · Elvis Presley

4Hebrew Wikipedia · Italian Wikipedia · English Wikipedia

4SPARQL · Blazegraph · Triplestore

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

Content

Freebase (database)

Reception

Applications

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Wikidata connects Entity context

The extracted context around Wikidata shows recurring relationship patterns in the source. For example, Wikidata → AI, Allen Institute, Betty Moore Foundation, Centralising, Creating, Google, Gordon, Inc, Lydia Pintscher, Meta-Wiki, Providing, Wikimedia, Wikimedia Deutschland, Wikipedia, Wikipedias Another extracted example is Wikidata → Elvis Presley, Gorilla, Johnny Cash, Q303, Q316, Q36611, Q42775, Q8470, QID, QIDs, Summer Olympics. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Development · 15

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

related to Concept · 11

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

has application · 10

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

related to Entity schemas · 10

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

related to Query service and other improvements · 8

Wikidata → Blazegraph, November, Query Builder, September, SPARQL, Wikidata Query Service, Wikimedia Deutschland, Wikimedia Foundation

related to Statements · 8

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

related to Statements and data access · 8

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

related to Lexemes · 7

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

related to Reception · 6

Wikidata → Freebase, Google, In December, In November, Open Data Institute, Open Data Publisher Award

related to Initial rollout · 4

Wikidata → Historically, October, Wikimedia Foundation, Wikipedia

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 107 structured relationships around Wikidata. Examples in this analysis include Wikidata → Available in → Multiple languages and Wikidata → Content licence → CC0[a]. 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	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
Apple's Siri	instance of	ApplicationsWikidata's structured dataset has been used by virtual assistants	0.80	text

Related concept clusters Related term clusters

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 ⟂ 25

Wikidata — Concept · splits 56 ⟂ 17

Wikidata — Overview · splits 62 ⟂ 11

Wikidata — Applications · splits 63 ⟂ 10

Wikidata — Reception · splits 66 ⟂ 7

Map overview Semantic statistics

Wikidata

Nodes73

Edges72

Triples107

Avg. degree1.97

Density0.027397

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

Wikidata: Applications & Measurement

Wikidata topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

Concept

Content

Development

Reception

Applications

For the semantics nerds

Advanced semantic analysis

How Wikidata connects Entity context

Wikidata

Top relations

Important terminology

Important terminology

Wikidata relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Wikidata

Source & methodology