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Utopia Documents

Utopia Documents is a semantic, scientific, web-enabled PDF reader that is part of the Utopia toolset, which can be downloaded for no cost.

Art & Science

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 Utopia Documents. 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.

Data Sources

9 related topics

Software Features

3 related topics

Versions

2 related topics

Overview

3 related topics

Key facts & relationships

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

Developers
Lost Island Labs Ltd., a spin-out from the University of Manchester
License
GNU General Public License v3
Operating system
Windows XP, Windows Vista, Windows 7 Mac OS X 10.6 and later Debian Linux
Platform
Desktop computer, Laptop computer
Size
Windows: 28.2 MB Mac OS X: 33.8 MB
Type
PDF software

Topics to explore

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

Overview

Versions

Software Features

Data Sources

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

Utopia Documents

Nodes22
Edges21
Triples31
Avg. degree1.91
Density0.090909
Components1

How this topic connects Entity context

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

Utopia Documents

Top relations

related to Software Features · 11
Utopia Documents → Adobe Acrobat Reader, Although, Direct, Free PDF, Linux, Mac, PDF, Preview, Recognizes, The, Windows
related to Versions · 8
Utopia Documents → Linux, Mac, Microsoft Windows, OS, Snow Leopard, Vista, Windows, XP
related to Data Sources · 4
Utopia Documents → AltmetricAQnowledgeCrossRefDryad, ChemistrySciBiteSemantic Biochemical JournalSHERPA/RoMEO, Society, The
Developers · 1
Utopia Documents → Lost Island Labs Ltd., a spin-out from the University of Manchester
License · 1
Utopia Documents → GNU General Public License v3
Operating system · 1
Utopia Documents → Windows XP, Windows Vista, Windows 7 Mac OS X 10.6 and later Debian Linux
Platform · 1
Utopia Documents → Desktop computer, Laptop computer
Size · 1
Utopia Documents → Windows: 28.2 MB Mac OS X: 33.8 MB
Type · 1
Utopia Documents → PDF software
Website · 1
Utopia Documents → utopiadocs.com

Important terminology Word statistics

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

Important terminology

utopia documents pdf reader software scientific web-enabled data sources windows mac linux license available semantic resources although content references xp

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Utopia DocumentsDevelopersLost Island Labs Ltd., a spin-out from the University of Manchester1.00infobox
Utopia DocumentsLicenseGNU General Public License v31.00infobox
Utopia DocumentsOperating systemWindows XP, Windows Vista, Windows 7 Mac OS X 10.6 and later Debian Linux1.00infobox
Utopia DocumentsPlatformDesktop computer, Laptop computer1.00infobox
Utopia DocumentsSizeWindows: 28.2 MB Mac OS X: 33.8 MB1.00infobox
Utopia DocumentsTypePDF software1.00infobox
Utopia DocumentsWebsiteutopiadocs.com1.00infobox
Utopia Documentsis asemantic0.90text
Utopia Documentsrelated to Data SourcesThe0.60section
Utopia Documentsrelated to Data SourcesAltmetricAQnowledgeCrossRefDryad0.60section
Utopia Documentsrelated to Data SourcesSociety0.60section
Utopia Documentsrelated to Data SourcesChemistrySciBiteSemantic Biochemical JournalSHERPA/RoMEO0.60section

Related concept clusters Concept neighborhoods

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

    Connections between topic areas Semantic bridges

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

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.