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Kontact is a personal information manager (PIM) and groupware software suite developed by KDE. It supports calendars, contacts, notes, to-do lists, news, and email. It offers a number of inter-changeable graphical UIs (KMail, KAddressBook, Akregator, etc.) all built on top of a common core.
The analysis highlights History, Components and Overview as prominent areas in the source structure around Kontact.
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 Kontact shows recurring relationship patterns in the source. For example, Kontact → At, Cornelius, Cornelius Schumacher, Daniel Molkentin, He, However, KAddressBook, KDE, KOrganizer, Matthias Hölzer-Klüpfel, The, This Another extracted example is Kontact → Akonadi, Along, June, KDE, KDE PIM, KDE Software Compilation, SC, Since, That, The. 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.
kde kmail personal pim application also information applications mail supports groupware components client news akonadi kaddressbook e-mail software email created
TTTA extracted 43 structured relationships around Kontact. Examples in this analysis include Kontact → Developer → KDE and Kontact → License → GNU GPLv2 or later. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kontact | Developer | KDE | 1.00 | infobox |
| Kontact | License | GNU GPLv2 or later | 1.00 | infobox |
| Kontact | Operating system | Unix-like, Microsoft Windows (Experimental) | 1.00 | infobox |
| Kontact | Repository | invent.kde.org/pim/kontact | 1.00 | infobox |
| Kontact | Stable release | 6.5.0 / 14 August 2025; 12 months ago (2025-08-14) | 1.00 | infobox |
| Kontact | Type | Personal Information Manager | 1.00 | infobox |
| Kontact | Website | kontact.kde.org | 1.00 | infobox |
| Kontact | Written in | C++ | 1.00 | infobox |
| Kontact | is a | personal information manager | 0.90 | text |
| Kubuntu hide the individual applications | instance of | These days many popular Linux distributions | 0.80 | text |
| only place Kontact prominently | instance of | These days many popular Linux distributions | 0.80 | text |
| SpamAssassin which can add their own headers to a piece of e-mail.These modular filters can be combined with text filters to detect | instance of | This allows the use of systems | 0.80 | text |
The concept neighborhoods around Kontact bring nearby vocabulary together. In this analysis, examples include Kde, Application and Components. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Kontact, one of the stronger structural bridges in this analysis connects Kontact with Components. 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 Kontact to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Components & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Kontact · EN edition · Analysis: TopicsToTalkAbout