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David (ben Šlomo) Gans (1541? Lippstadt – 22. nebo 25.? srpna 1613, Praha; někdy psáno Ganz, hebrejsky דוד בן שלמה גנז, zvaný též David Abzi) byl židovský kronikář, astronom a matematik, autor historiografického díla צמח דוד Cemach David, pod kterýmžto jménem je v židovském prostředí též znám. Lze ho považovat za prvního židovského historika ve střední…
The analysis highlights Život a dílo, Overview and Náhrobek as prominent areas in the source structure around David Gans.
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 David Gans shows recurring relationship patterns in the source. For example, David Gans → Academia, Daniel Boušek, David, Gans, ISBN, Jiřina, Judaica, Kabala, Kapitola David Gans, Malvern, Pavel Sládek, Praha, Praze, Pražský, Ratolest Davidova, Vladimír Another extracted example is David Gans → David, HebrewBooks, Nechmad, Obrázky, Wikimedia Commonshttp. 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.
david praze gans praha židovském židovský 25 cemach jeho starém hřbitově náhrobek díla 1541 1613 astronom ben židovského 22 srpna
TTTA extracted 29 structured relationships around David Gans. Examples in this analysis include David Gans → Místo pohřbení → Starý židovský hřbitov v Praze-Josefově (50°5′22″ s. š., 14°25′2″ v. d.) and David Gans → Narození → 1541 Lippstadt. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| David Gans | Místo pohřbení | Starý židovský hřbitov v Praze-Josefově (50°5′22″ s. š., 14°25′2″ v. d.) | 1.00 | infobox |
| David Gans | Narození | 1541 Lippstadt | 1.00 | infobox |
| David Gans | Nábož. vyznání | judaismus | 1.00 | infobox |
| David Gans | Povolání | matematik, astronom, historik, geograf, spisovatel, astrolog a teolog | 1.00 | infobox |
| David Gans | Zaměstnavatel | Benátky nad Jizerou | 1.00 | infobox |
| David Gans | Úmrtí | 25. srpna 1613 (ve věku 71–72 let) Praha | 1.00 | infobox |
| David Gans | related to Externí odkazy | Obrázky | 0.60 | section |
| David Gans | related to Externí odkazy | Wikimedia Commonshttp | 0.60 | section |
| David Gans | related to Externí odkazy | David | 0.60 | section |
| David Gans | related to Externí odkazy | Nechmad | 0.60 | section |
| David Gans | related to Externí odkazy | HebrewBooks | 0.60 | section |
| David Gans | related to Literatura | Jiřina | 0.60 | section |
The concept neighborhoods around David Gans bring nearby vocabulary together. In this analysis, examples include Cemach, Gans and Židovský. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For David Gans, one of the stronger structural bridges in this analysis connects David Gans with Život a dílo. 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 David Gans to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život a dílo, Overview & Náhrobek, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — David Gans · CS edition · Analysis: TopicsToTalkAbout