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Michael Weisse (kolem 1488, Nisa, Niské knížectví ‒ březen 1534, Lanškroun) byl františkánem, římským a bratrským knězem a redaktorem nejstaršího německojazyčného tištěného kancionálu Jednoty bratrské.
The analysis highlights Život, Dílo and Odkazy as prominent areas in the source structure around Michael Weisse.
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 Michael Weisse shows recurring relationship patterns in the source. For example, Michael Weisse → Acta Universitatis Palackianae Olomoucensis, Amedeo, AMELN, Annekathrin, Ausgange, Barock, Bd, Beilage, Bielefeld, Bohuš, Bonn, Bruno, Böhmen, Böhmens Antheil, Böhmischen Brüder, Camillo, Carl, Catholic, Co, Das Another extracted example is Michael Weisse → Abt, AMELN, Anfang, Austriacarum, Auswahl, Bd, Berlin, Berücksichtigung, Böhmischen Brüder, Das, Ein New Gesengbuchlen, Emil, Evangelischen Kirche, FIEDLER, Fontes, Geistliche Lieder, Geistlichkeit, Georg Fabricius, Gesangbuch, Hg. 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.
der in 1531 und von des böhmischen brüder michael die bd kancionálu new das hg weisse im ein gesangbuch lanškroun
TTTA extracted 212 structured relationships around Michael Weisse. Examples in this analysis include Michael Weisse → Narození → 1488 Nisa and Michael Weisse → Povolání → básník, spisovatel, spisovatel hymnů, teolog, překladatel, hudební skladatel a kazatel. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Michael Weisse | Narození | 1488 Nisa | 1.00 | infobox |
| Michael Weisse | Povolání | básník, spisovatel, spisovatel hymnů, teolog, překladatel, hudební skladatel a kazatel | 1.00 | infobox |
| Michael Weisse | Stát | Svatá říše římská | 1.00 | infobox |
| Michael Weisse | Významná díla | O lieber Herre Jesu Christ Gelobt sei Gott im höchsten Thron | 1.00 | infobox |
| Michael Weisse | Úmrtí | 19. března 1534 (ve věku 45–46 let) Lanškroun | 1.00 | infobox |
| Michael Weisse | related to Edice | AMELN | 0.60 | section |
| Michael Weisse | related to Edice | Konrad | 0.60 | section |
| Michael Weisse | related to Edice | Hg | 0.60 | section |
| Michael Weisse | related to Edice | Gesangbuch | 0.60 | section |
| Michael Weisse | related to Edice | Böhmischen Brüder | 0.60 | section |
| Michael Weisse | related to Edice | Originalgetreuem Nachdruck | 0.60 | section |
| Michael Weisse | related to Edice | Kassel-Basel | 0.60 | section |
The concept neighborhoods around Michael Weisse bring nearby vocabulary together. In this analysis, examples include Weiße, Michael and Weisse. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Michael Weisse, one of the stronger structural bridges in this analysis connects Michael Weisse 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 Michael Weisse to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život, Dílo & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Michael Weisse · CS edition · Analysis: TopicsToTalkAbout