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Distributed Proofreaders: History & Regions
Distributed Proofreaders (commonly abbreviated as DP or PGDP) is a web-based project that supports the development of e-texts for Project Gutenberg by allowing many people to work together in proofreading drafts of e-texts for errors. As of December 2025, the site had digitized 50,000 titles.
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Distributed Proofreaders topic overview
The analysis highlights History and Regions as prominent areas in the source structure around Distributed Proofreaders.
Related topics
50
Source areas
5
Connected nodes
55
Extracted relationships
105
Concept neighborhoods
18
Bridge connections
55
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.
Milestones · 32 topics
Related projects · 7 topics
Proofreading process · 5 topics
History · 3 topics
Overview · 3 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
Distributed Proofreaders Foundation (DPF)
Available in
3 languages
Commercial
No
Content license
Public domain
Country of origin
United States
Current status
Active
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Distributed Proofreaders connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Distributed Proofreaders shows recurring relationship patterns in the source. For example, Distributed Proofreaders → Agriculture, Brinton, Bureau, Cakchiquels, Caldecott's First Collection, Carl, Carl Linnaeus, Central American Indian, Charles William Burkett, Como, Daniel, Dillmont, Discourse, Doc, Eighth, Encyclopedia, English, Folk History, Forest-Trees, Former Slaves Another extracted example is Distributed Proofreaders → Arabic, As, Books, Distributed Proofreaders Europe, DP Europe, English, European, Hebrew, In January, November, October, Project Rastko, Serbia, This, Unicode UTF-8, Urdu. Use these groups to spot repeated connection types before inspecting the individual relationships.
Distributed Proofreaders
Top relations
related to 10,000th e-book· 62
Distributed Proofreaders → Agriculture, Brinton, Bureau, Cakchiquels, Caldecott's First Collection, Carl, Carl Linnaeus, Central American Indian, Charles William Burkett, Como, Daniel, Dillmont, Discourse, Doc, Eighth, Encyclopedia, English, Folk History, Forest-Trees, Former Slaves
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 105 structured relationships around Distributed Proofreaders. Examples in this analysis include Distributed Proofreaders → Available in → 3 languages and Distributed Proofreaders → Commercial → No. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Distributed Proofreaders
Available in
3 languages
1.00
infobox
Distributed Proofreaders
Commercial
No
1.00
infobox
Distributed Proofreaders
Content license
Public domain
1.00
infobox
Distributed Proofreaders
Country of origin
United States
1.00
infobox
Distributed Proofreaders
Current status
Active
1.00
infobox
Distributed Proofreaders
Founder
Charles Franks
1.00
infobox
Distributed Proofreaders
General manager
Linda Hamilton
1.00
infobox
Distributed Proofreaders
Launched
2000; 26 years ago (2000)
1.00
infobox
Distributed Proofreaders
OCLC number
1087497129
1.00
infobox
Distributed Proofreaders
Owner
Distributed Proofreaders Foundation (DPF)
1.00
infobox
Distributed Proofreaders
Registration
Optional
1.00
infobox
Distributed Proofreaders
Type of site
Not-for-profit
1.00
infobox
Distributed Proofreaders
URL
pgdp.net
1.00
infobox
Distributed Proofreaders
Written in
PHP
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Distributed Proofreaders bring nearby vocabulary together. In this analysis, examples include Proofreaders, Project and Gutenberg. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Distributed Proofreaders
Proofreaders
Project
Gutenberg
Site
Proofreading
Canada
Europe
Franks
Process
Charles
One
000th
distributed proofreaders
Proofreaders
Project
Gutenberg
Site
Proofreading
Canada
Europe
Franks
Charles
One
Process
000th
united states copyright law
States
United
Domain
History
Public
Books
Dp
Gutenberg
Project
Canada
Europe
Franks
distributed computing
Proofreaders
Project
Gutenberg
Site
Proofreading
Canada
Europe
Franks
Process
Charles
One
000th
distributed proofreaders canada
Proofreaders
Project
Copyright
Gutenberg
Site
Proofreading
December
Domain
Europe
Franks
French
History
project gutenberg canada
Gutenberg
Project
Proofreaders
Copyright
December
Domain
Europe
Franks
French
History
Process
Proofreading
work projects administration
Public
E-texts
Errors
Many
Proofreading
Celebrated
Milestone
Projects
States
United
Work
000th
charles william burkett
Franks
French
Proofreading
Site
English
Domain
Europe
History
Process
Public
States
United
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Distributed Proofreaders, one of the stronger structural bridges in this analysis connects Distributed Proofreaders with Milestones. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Distributed Proofreaders
Nodes56
Edges55
Triples105
Avg. degree1.96
Density0.035714
Components1
Source & methodology
TTTA analyzes the structure around Distributed Proofreaders to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Regions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
