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Jan Hellich (19. ledna 1850, Poděbrady – 30. září 1931, Poděbrady) byl farmakolog, přírodovědec, archeolog, zakladatel muzea, vlastivědný pracovník a starosta v Poděbradech.
The analysis highlights Život, Odkazy and Overview as prominent areas in the source structure around Jan Hellich.
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 Jan Hellich shows recurring relationship patterns in the source. For example, Jan Hellich → Archeologický, Hellich, Hellichova, Historických, Libice, Marie, Nanebevzetí, Památky, Památky Archeologické, Pečkách, Piněva, Poděbrad, Poděbradech, Poděbradsko, Poděbrady, PoděbradyHellich, PoděbradyJan Hellich, PrahaJan Hellich, Pravěk, Průvodce Another extracted example is Jan Hellich → Academia Praha, Archeologický, Formánek, Hellich, ISBN, Jan, Ladislav Píč, Lubomír Slavíček, Otto, Petr, Poděbrad, Poděbradech, Poděbrady, Polabské, Polabí, Slovník, Sv, Topografie, Vinduška, Vlastivědný. 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.
hellich poděbrady jan muzea poděbradech 1931 československo 1850 19 ledna 30 září rakouské císařství roku archeologické letech poděbrad commons farmakolog
TTTA extracted 82 structured relationships around Jan Hellich. Examples in this analysis include Jan Hellich → Choť → Růžena Hellichová and Jan Hellich → Děti → Jarmila Hellichová Jaromír Hellich. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jan Hellich | Choť | Růžena Hellichová | 1.00 | infobox |
| Jan Hellich | Děti | Jarmila Hellichová Jaromír Hellich | 1.00 | infobox |
| Jan Hellich | Funkce | ředitel muzea | 1.00 | infobox |
| Jan Hellich | Místo pohřbení | Hřbitov v Poděbradech | 1.00 | infobox |
| Jan Hellich | Narození | 19. ledna 1850 Poděbrady Rakouské císařství Rakouské císařství | 1.00 | infobox |
| Jan Hellich | Občanství | Rakousko-Uhersko a Československo | 1.00 | infobox |
| Jan Hellich | Povolání | farmakolog, přírodovědec, archeolog | 1.00 | infobox |
| Jan Hellich | Příbuzní | Alois Hellich, Bohuslav Hellich a Emanuel Hellich (sourozenci) | 1.00 | infobox |
| Jan Hellich | Rodiče | Emanuel Hellich | 1.00 | infobox |
| Jan Hellich | Úmrtí | 30. září 1931 (ve věku 81 let) Poděbrady Československo Československo | 1.00 | infobox |
| Jan Hellich | related to Dílo | Hellich | 0.60 | section |
| Jan Hellich | related to Dílo | Archeologický | 0.60 | section |
The concept neighborhoods around Jan Hellich bring nearby vocabulary together. In this analysis, examples include Jan, Poděbrady and Poděbradech. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jan Hellich, one of the stronger structural bridges in this analysis connects Jan Hellich with Život. 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 Jan Hellich to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, 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 — Jan Hellich · CS edition · Analysis: TopicsToTalkAbout