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Kosmas (asi 1045 – 21. října 1125) byl první známý český kronikář, autor latinsky psané Kroniky české (Chronica Boemorum, běžně Kosmova kronika). V letech 1120 až 1125 byl děkanem pražské kapituly při sv. Vítu. Takřka všechny informace, které jsou dnes o něm známy, pocházejí z jeho kroniky, kde se několikrát zmínil o sobě a svých příbuzných. Na svou dobu…
The analysis highlights Kronika, Rodina and Narození a původ as prominent areas in the source structure around Kosmas.
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 Kosmas shows recurring relationship patterns in the source. For example, Kosmas → Argo, Berlin, Bertold, Bláhová Marie, BRETHOLZ, Brno, Böhmen, Cosmas, Die Chronik, Dostupné, Dušan, Hrdina, ISBN, Jana, Josef, Josef Emler, Karel, Kosmova, Kosmovy, Kosmův Another extracted example is Kosmas → Boleslava II, Bořivoje, Břetislava, Břetislava II, Břetislavova, Dílo, Hnězdna, Jako, Jaromíra, Kateřiny, Kniha, Konráda II, Kosmova, Kosmovo, Kosmových, Kosmy, Krokovi, Kronika, Libuši, Martin Wihoda. 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.
roku jeho kroniky roce praha 1125 kosmova kronika sv let české narození zřejmě 1045 kronice věku českého první října jsou
TTTA extracted 170 structured relationships around Kosmas. Examples in this analysis include Kosmas → Narození → 1045 Praha nebo Zdice and Kosmas → Povolání → spisovatel, historik a kronikář. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kosmas | Narození | 1045 Praha nebo Zdice | 1.00 | infobox |
| Kosmas | Povolání | spisovatel, historik a kronikář | 1.00 | infobox |
| Kosmas | Stát | České království | 1.00 | infobox |
| Kosmas | Úmrtí | 21. října 1125 (ve věku 79–80 let) Praha | 1.00 | infobox |
| Kosmas | related to Externí odkazy | Obrázky | 0.60 | section |
| Kosmas | related to Externí odkazy | Wikimedia Commons Slovníkové | 0.60 | section |
| Kosmas | related to Externí odkazy | WikislovníkuSeznam | 0.60 | section |
| Kosmas | related to Externí odkazy | Souborném | 0.60 | section |
| Kosmas | related to Externí odkazy | Kosmas Digitalizovaná | 0.60 | section |
| Kosmas | related to Externí odkazy | Kosmova | 0.60 | section |
| Kosmas | related to Externí odkazy | KosmasVýňatky | 0.60 | section |
| Kosmas | related to Externí odkazy | Kosmovy | 0.60 | section |
The concept neighborhoods around Kosmas bring nearby vocabulary together. In this analysis, examples include Roku, Kronice and České. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Kosmas, one of the stronger structural bridges in this analysis connects Kosmas with Kronika. 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 Kosmas to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Kronika, Rodina & Narození a původ, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Kosmas · CS edition · Analysis: TopicsToTalkAbout