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Tovaryš byl učeň, který úspěšně splnil tovaryšské zkoušky. Pak mohl samostatně vykonávat práce ze svého oboru. Z tovaryše se stal mistr po složení mistrovské zkoušky. Počet tovaryšů určoval cech. V dnešní době se toto slovo již nepoužívá, tovaryš se dnes nazývá učeň.
The analysis highlights Odvozené slovo, Odkazy and Overview as prominent areas in the source structure around Tovaryš.
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 Tovaryš shows recurring relationship patterns in the source. For example, Tovaryš → Dostupné, Dějiny, Františka Josefa, Poměr, Praha, WINTER, Zikmund Another extracted example is Tovaryš → Jezuitský, Kristovi, Toto, Tovaryšstvo Ježíšovo, Větší. 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.
slovo učeň zkoušky cech počet tovaryšů dnes mistr tovaryšstvo winter zikmund praha česká akademie císaře františka josefa dostupné online kapitola
TTTA extracted 14 structured relationships around Tovaryš. Examples in this analysis include Tovaryš → related to Externí odkazy → Obrázky and Tovaryš → related to Externí odkazy → Wikimedia Commons. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tovaryš | related to Externí odkazy | Obrázky | 0.60 | section |
| Tovaryš | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Tovaryš | related to Literatura | WINTER | 0.60 | section |
| Tovaryš | related to Literatura | Zikmund | 0.60 | section |
| Tovaryš | related to Literatura | Praha | 0.60 | section |
| Tovaryš | related to Literatura | Františka Josefa | 0.60 | section |
| Tovaryš | related to Literatura | Dostupné | 0.60 | section |
| Tovaryš | related to Literatura | Dějiny | 0.60 | section |
| Tovaryš | related to Literatura | Poměr | 0.60 | section |
| Tovaryš | related to Odvozené slovo | Větší | 0.60 | section |
| Tovaryš | related to Odvozené slovo | Toto | 0.60 | section |
| Tovaryš | related to Odvozené slovo | Jezuitský | 0.60 | section |
The concept neighborhoods around Tovaryš bring nearby vocabulary together. In this analysis, examples include Učeň, Dnešní and Době. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tovaryš, one of the stronger structural bridges in this analysis connects Tovaryš 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 Tovaryš to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Odvozené slovo, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tovaryš · CS edition · Analysis: TopicsToTalkAbout