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Švabach (něm. Schwabacher) je tiskové pozdně bastardní gotické lomené písmo s velkou zdobností, pocházející z 80. let 15. století, které bylo záhy, v polovině 16. století, jako základní tiskové písmo v německé oblasti vytlačeno vyšší a užší frakturou. Toto široké zaoblené písmo je z dnešního hlediska pro laiky pouze obtížně čitelné, ve své době však bylo…
The analysis highlights Odkazy and Overview as prominent areas in the source structure around Švabach.
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 Švabach shows recurring relationship patterns in the source. For example, Švabach → Brně, Brož, Bruchstücken, Carl Korpisch, Cýsařsko-králowských Zemjch, Dostupné, Děti, František, Jan Giřj Gastl, Joh, Jugend, Mikoláš ALEŠ, Neues ABC Buch, Německý, Prag, Praha, Praze, Rudolf ADÁMEK, Slabikář, Sskol Another extracted example is Švabach → Archivováno, Obrázky, Schwabach, Slovníkové, SPD, Stránka, TDKIV, TrueType, Wayback Machine, Wikimedia CommonsŠvabach, WikislovníkuO. 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.
písmo století jako kurent fraktura slabikář lomené švabachu bastardní české tiskové pozdně let 16 německé vyznačovací online schwabach dostupné písmem
TTTA extracted 32 structured relationships around Švabach. Examples in this analysis include Švabach → related to Externí odkazy → Obrázky and Švabach → related to Externí odkazy → Wikimedia CommonsŠvabach. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Švabach | related to Externí odkazy | Obrázky | 0.60 | section |
| Švabach | related to Externí odkazy | Wikimedia CommonsŠvabach | 0.60 | section |
| Švabach | related to Externí odkazy | TDKIV | 0.60 | section |
| Švabach | related to Externí odkazy | Slovníkové | 0.60 | section |
| Švabach | related to Externí odkazy | WikislovníkuO | 0.60 | section |
| Švabach | related to Externí odkazy | SPD | 0.60 | section |
| Švabach | related to Externí odkazy | Schwabach | 0.60 | section |
| Švabach | related to Externí odkazy | TrueType | 0.60 | section |
| Švabach | related to Externí odkazy | Stránka | 0.60 | section |
| Švabach | related to Externí odkazy | Archivováno | 0.60 | section |
| Švabach | related to Externí odkazy | Wayback Machine | 0.60 | section |
| Švabach | related to Literatura | Neues ABC Buch | 0.60 | section |
The concept neighborhoods around Švabach bring nearby vocabulary together. In this analysis, examples include Schwabach, Švabachu and Švabach. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Švabach, one of the stronger structural bridges in this analysis connects Švabach 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 Švabach to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as 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 — Švabach · CS edition · Analysis: TopicsToTalkAbout