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co-ment / COMT is a (no longer maintained) online word processor allowing collaborative writing and commenting. It was inspired by the software package stet, which was created to handle the GNU GPL version 3 online revision. It is free software, available under Affero GPL.
The analysis highlights Usages, Description and Overview as prominent areas in the source structure around Co-ment.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Co-ment shows recurring relationship patterns in the source. For example, Co-ment → Drupal, It, Source, WordPress Another extracted example is Co-ment → Creative Commons, GPL, Mozilla Public License, Some. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
online available gpl revision also software stet comt word processor allowing inspired created handle free mozilla public license website allows
TTTA extracted 22 structured relationships around Co-ment. Examples in this analysis include Co-ment → Available in → English, French and Co-ment → Final release → 2.6.4 / 10 February 2016; 10 years ago (10 February 2016). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Co-ment | Available in | English, French | 1.00 | infobox |
| Co-ment | Final release | 2.6.4 / 10 February 2016; 10 years ago (10 February 2016) | 1.00 | infobox |
| Co-ment | License | AGPL | 1.00 | infobox |
| Co-ment | Original author | Philippe Aigrain | 1.00 | infobox |
| Co-ment | Repository | github.com/co-ment/comt | 1.00 | infobox |
| Co-ment | Type | Online word processor | 1.00 | infobox |
| Co-ment | Website | co-ment.org | 1.00 | infobox |
| Co-ment | Written in | Python/Django | 1.00 | infobox |
| the Mozilla Public License | instance of | and has been since used for other licenses | 0.80 | text |
| the Creative Commons licence family.Co-ment is also used for legal works | instance of | and has been since used for other licenses | 0.80 | text |
| for administrative works | instance of | and has been since used for other licenses | 0.80 | text |
| for advocacy works | instance of | and has been since used for other licenses | 0.80 | text |
The concept neighborhoods around Co-ment bring nearby vocabulary together. In this analysis, examples include Online, Comt and License. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Co-ment, one of the stronger structural bridges in this analysis connects Co-ment 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.
TTTA analyzes the structure around Co-ment to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Usages, Description & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Co-ment · EN edition · Analysis: TopicsToTalkAbout