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John Dalton (6. září 1766 Eaglesfield, Cumberland – 27. července 1844 Manchester) byl britský vědec vynikající zejména v chemii a fyzice. Je považován za jednoho ze zakladatelů moderní atomistiky. Již v roce 1801 popsal svou atomovou teorii, podle které mají všechny atomy jednoho prvku (na rozdíl od atomů jiných prvků) stejnou hmotnost. Výsledky své…
The analysis highlights Vědecká práce, Ocenění and Overview as prominent areas in the source structure around John Dalton.
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 John Dalton shows recurring relationship patterns in the source. For example, John Dalton → Anglii, Dalton, Daltonova, Eaglesfieldu, Elihu Robinsona, Harris Manchester College, Jezerní, Johna Fletchera, Johna Gougha, Mnoho, Oxfordu, Pardshaw Hall, Rané, Svých, Ve, Zůstal Another extracted example is John Dalton → Obrázky, Wikimedia Commons. 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.
dalton roce atomy jeho manchester 1844 john plynů jako prvků of let and 1766 zákon 27 1801 zabýval cumberland práce
TTTA extracted 32 structured relationships around John Dalton. Examples in this analysis include John Dalton → Alma mater → Harris Manchester College and John Dalton → Funkce → tajemník (1800–1809) prezident (Manchester Literary and Philosophical Society; 1816–1844). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| John Dalton | Alma mater | Harris Manchester College | 1.00 | infobox |
| John Dalton | Funkce | tajemník (1800–1809) prezident (Manchester Literary and Philosophical Society; 1816–1844) | 1.00 | infobox |
| John Dalton | Místo pohřbení | Ardwick Cemetery | 1.00 | infobox |
| John Dalton | Narození | 6. září 1766 Cumberland | 1.00 | infobox |
| John Dalton | Občanství | Spojené království Velké Británie a Irska | 1.00 | infobox |
| John Dalton | Ocenění | člen Královské společnosti Královská medaile společník Americké akademie umění a věd | 1.00 | infobox |
| John Dalton | Povolání | fyzik, matematik, meteorolog, chemik, botanik a přírodovědec | 1.00 | infobox |
| John Dalton | Rodiče | Joseph Dalton a Deborah Greenup | 1.00 | infobox |
| John Dalton | Zaměstnavatel | Oxfordská univerzita | 1.00 | infobox |
| John Dalton | Úmrtí | 27. července 1844 (ve věku 77 let) Manchester | 1.00 | infobox |
| John Dalton | related to Externí odkazy | Obrázky | 0.60 | section |
| John Dalton | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
The concept neighborhoods around John Dalton bring nearby vocabulary together. In this analysis, examples include Commons, Cumberland and Září. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For John Dalton, one of the stronger structural bridges in this analysis connects John Dalton 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 John Dalton to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Vědecká práce, Ocenění & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — John Dalton · CS edition · Analysis: TopicsToTalkAbout