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K2 (baltsky Čhogori, v anglickém přepisu Chogori; česky Čchokori; urdsky کے ٹو, Ke tū nebo Lambá Pahár; čínsky 乔戈里峰, oficiální přepis Qogir; pinyin Qiáogēlǐ Fēng, český přepis Čchiao-ke-li feng), známá též pod anglickým názvem Mount Godwin-Austen, je nejvyšší hora pohoří Karákóram v Asii, nejvyšší hora Pákistánu a druhá nejvyšší hora světa. Nachází se…
The analysis highlights Historie, Lezecké cesty na K2 and Výstupy českých horolezců as prominent areas in the source structure around K2.
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 K2 shows recurring relationship patterns in the source. For example, K2 → Academia, Ardito, Arnošt, Berg, Bratislava, Brno, Brána, Chogori, CONEFREY, Der, DESIO, DIEMBERGER, Dobytie K2, Duchové K2, FALVEY, Franco, Fritz, Garzanti, Great Mountaineering Adventures, GYALJE Another extracted example is K2 → Abruzziho, Abruzzském, Američany, Američané, Až, Bez, Britové, Brochelerovými, Butylka, Celkově, Dan Mazur, Dosáhl, Dosáhla, Fritz Wiessner, Italům, James Wickwire, Japonci, Japonec Eiho Ohtani, Japonská, Jejich. 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.
výstup vrchol expedice roku první roce vyd 1986 metrů hora července horolezců hřeben názvem isbn hory zde abruzziho pilíř nejvyšší
TTTA extracted 216 structured relationships around K2. Examples in this analysis include K2 → Izolace → 1315 km → Everest and K2 → Pohoří → Karákóram. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| K2 | Izolace | 1315 km → Everest | 1.00 | infobox |
| K2 | Pohoří | Karákóram | 1.00 | infobox |
| K2 | Povodí | Šigar → Indus, Jarkend | 1.00 | infobox |
| K2 | Prominence | 4020 m | 1.00 | infobox |
| K2 | Prvovýstup | 31. července 1954 | 1.00 | infobox |
| K2 | Seznamy | Nejvyšší hory #2 Nejprominentnější hory #22 Osmitisícovky #2 Nejvyšší hory asijských zemí #2 Ultraprominentní hory | 1.00 | infobox |
| K2 | Souřadnice | 35°52′52″ s. š., 76°30′48″ v. d. | 1.00 | infobox |
| K2 | Stát | Pákistán Pákistán (Gilgit-Baltistán) Čína Čína (Sin-ťiang) | 1.00 | infobox |
| K2 | Světadíl | Asie | 1.00 | infobox |
| K2 | Vrchol | 8611 m n. m. | 1.00 | infobox |
| K2 | related to Americké výpravy ve 30. a 50. letech | Teprve | 0.60 | section |
| K2 | related to Americké výpravy ve 30. a 50. letech | Američané | 0.60 | section |
The concept neighborhoods around K2 bring nearby vocabulary together. In this analysis, examples include První, Hora and Výstup. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For K2, one of the stronger structural bridges in this analysis connects K2 with Historie. 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 K2 to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Lezecké cesty na K2 & Výstupy českých horolezců, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — K2 · CS edition · Analysis: TopicsToTalkAbout