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Thomas Newcomen (24. února 1664 Dartmouth v hrabství Devon – 5. srpna 1729 Londýn) byl anglický kovář a vynálezce, tvůrce prvních parních strojů. V roce 1712 sestrojil se svým společníkem Thomasem Saverym parní stroj pro čerpání vody z dolů. Do roku 1733, než vypršel patent, byla takových strojů sestavena více než stovka.
The analysis highlights Ocenění, Overview and Odkazy as prominent areas in the source structure around Thomas Newcomen.
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 Thomas Newcomen shows recurring relationship patterns in the source. For example, Thomas Newcomen → Allen, Cambridge, Charles, David, Dawlish, Early History, Hartington, ISBN, John, Lionel Thomas Caswell Rolt, Moorland Publishing Company, Newcomen, Newcomen Society, Rhys Jenkins, Savery, Steam Engine, The Collected Papers, The Prehistory, The Steam Engines Another extracted example is Thomas Newcomen → 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.
newcomen thomas února strojů stroj londýn srpna 1664 1729 of commons roce sestrojil dolů roku patent jeho dartmouth vynálezce obrázek
TTTA extracted 27 structured relationships around Thomas Newcomen. Examples in this analysis include Thomas Newcomen → Místo pohřbení → Bunhill Fields and Thomas Newcomen → Narození → 28. února 1664 Dartmouth. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Thomas Newcomen | Místo pohřbení | Bunhill Fields | 1.00 | infobox |
| Thomas Newcomen | Narození | 28. února 1664 Dartmouth | 1.00 | infobox |
| Thomas Newcomen | Nábož. vyznání | baptisté | 1.00 | infobox |
| Thomas Newcomen | Občanství | Spojené království | 1.00 | infobox |
| Thomas Newcomen | Povolání | vynálezce, obchodník s železářským zbožím, mechanik a inženýr | 1.00 | infobox |
| Thomas Newcomen | Úmrtí | 5. srpna 1729 (ve věku 65 let) Londýn | 1.00 | infobox |
| Thomas Newcomen | related to Externí odkazy | Obrázky | 0.60 | section |
| Thomas Newcomen | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Thomas Newcomen | related to Literatura | Rhys Jenkins | 0.60 | section |
| Thomas Newcomen | related to Literatura | Savery | 0.60 | section |
| Thomas Newcomen | related to Literatura | Newcomen | 0.60 | section |
| Thomas Newcomen | related to Literatura | Early History | 0.60 | section |
The concept neighborhoods around Thomas Newcomen bring nearby vocabulary together. In this analysis, examples include Thomas, Caswell and Lionel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Thomas Newcomen, one of the stronger structural bridges in this analysis connects Thomas Newcomen 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 Thomas Newcomen to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Ocenění, Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Thomas Newcomen · CS edition · Analysis: TopicsToTalkAbout