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PagePlus: History & Products
PagePlus was a desktop publishing (page layout) program developed by Serif for Microsoft Windows. The first version was released in 1991 as the first commercial sub-£100 DTP package for Microsoft Windows. The final release was PagePlus X9, which was released in November 2015. In June 2019 it was officially replaced by Serif with Affinity Publisher.
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PagePlus topic overview
The analysis highlights History and Products as prominent areas in the source structure around PagePlus.
Related topics
22
Source areas
3
Connected nodes
25
Extracted relationships
71
Concept neighborhoods
13
Bridge connections
25
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.
Overview · 16 topics
Supported platforms · 5 topics
History · 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.
Developer
Serif Europe
Final release
X9 / 19 November 2015; 10 years ago (2015-11-19)
License
Proprietary commercial software
Operating system
Windows XP SP3 Windows Vista Windows 7 Windows 8 Windows 10
Release
1990; 36 years ago (1990)
Successor
Affinity Publisher
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 PagePlus 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 PagePlus shows recurring relationship patterns in the source. For example, PagePlus → April, August, December, Despite, February, Following, June, November, October, PDF Edition, September, Serif, Three, Version, Windows, X2, X3, X4, X5, X6 Another extracted example is PagePlus → Adobe's InDesign, CMYK, DTP, E-books, EPUB3, It, Kindle, MFC, OpenType Feature, Optical, Optical Justification, PDF, Quark's XPress, The, The Windows GDI, Unicode, Visual Studio, While PagePlus. Use these groups to spot repeated connection types before inspecting the individual relationships.
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 71 structured relationships around PagePlus. Examples in this analysis include PagePlus → Developer → Serif Europe and PagePlus → Final release → X9 / 19 November 2015; 10 years ago (2015-11-19). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
PagePlus
Developer
Serif Europe
1.00
infobox
PagePlus
Final release
X9 / 19 November 2015; 10 years ago (2015-11-19)
1.00
infobox
PagePlus
License
Proprietary commercial software
1.00
infobox
PagePlus
Operating system
Windows XP SP3 Windows Vista Windows 7 Windows 8 Windows 10
1.00
infobox
PagePlus
Release
1990; 36 years ago (1990)
1.00
infobox
PagePlus
Successor
Affinity Publisher
1.00
infobox
PagePlus
Type
Desktop publishing
1.00
infobox
PagePlus
Website
www.serif.com/pageplus/
1.00
infobox
PagePlus
Written in
C++
1.00
infobox
PagePlus
related to history
Windows
0.60
section
PagePlus
related to history
Three
0.60
section
PagePlus
related to history
Following
0.60
section
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 PagePlus bring nearby vocabulary together. In this analysis, examples include Final, Serif and X9. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
PagePlus
Final
Serif
X9
Release
Publishing
Xp
First
Support
Program
Windows
Version
Com
pageplus
Final
Serif
X9
Release
Publishing
Xp
First
Support
Program
Windows
Version
Com
desktop publishing
Publishing
Com
Website
Software
Xp
X9
Serif
Program
Windows
Commercial
Developed
Launched
serif
Software
X9
Release
Com
Operating
Website
Affinity
June
Product
Publisher
Xp
Dtp
affinity publisher
Publisher
Launched
June
First
Com
Commercial
Operating
Sub-
Version
Vista
Website
Written
microsoft windows
Windows
First
Vista
Xp
Commercial
Sub-
Publishing
Dtp
Final
Released
Support
Website
windows xp
Vista
Xp
Pdf
Years
Product
Support
Website
Written
X9
windows vista
Xp
Vista
Windows
Website
Written
Years
Support
X9
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 PagePlus, one of the stronger structural bridges in this analysis connects PagePlus with Overview. 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.
PagePlus
Nodes26
Edges25
Triples71
Avg. degree1.92
Density0.076923
Components1
Source & methodology
TTTA analyzes the structure around PagePlus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
