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Karel Schulz (6. května 1899 Městec Králové – 27. února 1943 Praha) byl český romanopisec, divadelní kritik, parlamentní zpravodaj, básník a povídkář, jehož nejznámějším dílem je Kámen a bolest (1942), historický román, který ho však proslavil až po jeho smrti.
The analysis highlights Životopis, Odkazy and Dílo as prominent areas in the source structure around Karel Schulz.
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 Karel Schulz shows recurring relationship patterns in the source. For example, Karel Schulz → Acta Sanctorum, Ale, Alfréd Fuchs, Alfréda Fuchse, Databázi, Dr, Karel Schulz Digitalizovaná, Karla Schulze, Kámen, Marie Kuchařová, Obrázky, Schulz, Schulzova, Souborném, Te Deum, Wikimedia CommonsSeznam Another extracted example is Karel Schulz → Právnická fakulta Univerzity Karlovy 1. lékařská fakulta Univerzity Karlovy. 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.
schulz karel praha kámen bolest rakousko-uhersko 1943 jeho května městec králové 27 února protektorát čechy morava fakulta univerzity karlovy 1899
TTTA extracted 28 structured relationships around Karel Schulz. Examples in this analysis include Karel Schulz → Alma mater → Právnická fakulta Univerzity Karlovy 1. lékařská fakulta Univerzity Karlovy and Karel Schulz → Děti → Jiřina Topolová. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Karel Schulz | Alma mater | Právnická fakulta Univerzity Karlovy 1. lékařská fakulta Univerzity Karlovy | 1.00 | infobox |
| Karel Schulz | Děti | Jiřina Topolová | 1.00 | infobox |
| Karel Schulz | Místo pohřbení | Olšanské hřbitovy | 1.00 | infobox |
| Karel Schulz | Narození | 6. května 1899 Městec Králové Rakousko-Uhersko Rakousko-Uhersko | 1.00 | infobox |
| Karel Schulz | Povolání | spisovatel, básník, novinář, autor sci-fi a redaktor | 1.00 | infobox |
| Karel Schulz | Pseudonym | José Espanillo | 1.00 | infobox |
| Karel Schulz | Příbuzní | Jáchym Topol (vnuk z dceřiny strany) Filip Topol (vnuk z dceřiny strany) Jáchym Topol a Filip Topol (vnoučata) | 1.00 | infobox |
| Karel Schulz | Rodiče | Ivan Schulz | 1.00 | infobox |
| Karel Schulz | Stát | Československo | 1.00 | infobox |
| Karel Schulz | Témata | literární činnost, žurnalistika a divadelní kritika | 1.00 | infobox |
| Karel Schulz | Významná díla | Kámen a bolest | 1.00 | infobox |
| Karel Schulz | Úmrtí | 27. února 1943 (ve věku 43 let) Praha Protektorát Čechy a Morava Protektorát Čechy a Morava | 1.00 | infobox |
The concept neighborhoods around Karel Schulz bring nearby vocabulary together. In this analysis, examples include Schulz, Básník and Commons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Karel Schulz, one of the stronger structural bridges in this analysis connects Karel Schulz with Životopis. 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 Karel Schulz to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Životopis, Odkazy & Dílo, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Karel Schulz · CS edition · Analysis: TopicsToTalkAbout