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Vilém je mužské křestní jméno germánského původu. Vzniklo ze jména Willhelm (staroseversky Vilhjálmr) spojeného z výrazů will – „vůle“, „touha“ a helm – „přilba“, „ochrana“ → tedy význam je „ochranou je má vůle“ či „rytíř velké přilby“.
The analysis highlights Známí nositelé jména, Statistické údaje and Související články as prominent areas in the source structure around Vilém.
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 Vilém shows recurring relationship patterns in the source. For example, Vilém → Akvitánský, Blízkém, Conrad Röntgen, Dobyvatel, Eleonory AkvitánskéVilém Aetheling, II, III, IV, IX, Jindřicha, Ludvík Nasavsko-Saarbrückenský, Oranžský, Saint-Thierry, Shakespeare, Tell, Tripolisu, Tyru, TyruPrinc William, WalesuWilhelm Grimm, Wallace Another extracted example is Vilém → Blodek, Chlumu, Heckel, Klubu, Košumberka, Kurz, Národní, Pospíšil, Přibyl, Slavata, Tauský, Vilém Besser, Vilém Mrštík, Závada. 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.
jméno více osob rozcestník 28 května jména mužské akvitánský ze četnost svátek william spisovatel anglický tedy původ údaje literární čr
TTTA extracted 60 structured relationships around Vilém. Examples in this analysis include Vilém → Podle údajů z roku → 2016 and Vilém → Pořadí podle četnosti → 187.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Vilém | Podle údajů z roku | 2016 | 1.00 | infobox |
| Vilém | Pořadí podle četnosti | 187. | 1.00 | infobox |
| Vilém | Původ | germánský | 1.00 | infobox |
| Vilém | Svátek | 28. května | 1.00 | infobox |
| Vilém | Četnost v Česku | 6 701 | 1.00 | infobox |
| Vilém | related to Domácké podoby | Vilda | 0.60 | section |
| Vilém | related to Domácké podoby | Vili | 0.60 | section |
| Vilém | related to Domácké podoby | Vilík | 0.60 | section |
| Vilém | related to Domácké podoby | Vilímek | 0.60 | section |
| Vilém | related to Domácké podoby | Vilémek | 0.60 | section |
| Vilém | related to Externí odkazy | Obrázky | 0.60 | section |
| Vilém | related to Externí odkazy | Wikimedia Commons Slovníkové | 0.60 | section |
The concept neighborhoods around Vilém bring nearby vocabulary together. In this analysis, examples include Akvitánský, Osob and Rozcestník. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Vilém, one of the stronger structural bridges in this analysis connects Vilém with Známí nositelé jména. 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 Vilém to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Známí nositelé jména, Statistické údaje & Související články, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Vilém · CS edition · Analysis: TopicsToTalkAbout