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Jin-šan nebo Yin Shan (čínsky v českém přepisu Jin-šan, Jin-šan šan-maj, pchin-jinem Yīnshān, Yīnshān Shānmài, znaky zjednodušené 阴山, 陰山山脉, tradiční 陰山, 陰山山脈) je horské pásmo, které se táhne Vnitřním Mongolskem ze západu na východ, severně od Žluté řeky, v délce asi 1200 km.
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Jin-šan.
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 Jin-šan shows recurring relationship patterns in the source. For example, Jin-šan → Obrázky, Wikimedia CommonsDas Yinshan-Gebirge, Yinshan Another extracted example is Jin-šan → 1000 km. 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.
žluté řeky jihu shan lang-šan wu-la-šan ta-čching-šan chuej-tcheng-liang-šan liang-čcheng-šan chua-šan ta-ma-čchün-šan gobi commons leží che-tchao čína km mongolská plošina čínsky
TTTA extracted 12 structured relationships around Jin-šan. Examples in this analysis include Jin-šan → Délka → 1000 km and Jin-šan → Nadřazená jednotka → Severočínské hory. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Jin-šan | Délka | 1000 km | 1.00 | infobox |
| Jin-šan | Nadřazená jednotka | Severočínské hory | 1.00 | infobox |
| Jin-šan | Nejvyšší bod | 2950 m n. m. (Ta-čching-šan) | 1.00 | infobox |
| Jin-šan | Podřazené jednotky | Lang-šan, Wu-la-šan, Ta-čching-šan, Chuej-tcheng-liang-šan, Liang-čcheng-šan, Chua-šan, Ta-ma-čchün-šan | 1.00 | infobox |
| Jin-šan | Povodí | Žlutá řeka | 1.00 | infobox |
| Jin-šan | Sousední jednotky | Che-lan-šan, Mongolská plošina, Gobi, Che-tchao pching-jüan, Mu-us ša-mo | 1.00 | infobox |
| Jin-šan | Souřadnice | 41° s. š., 112° v. d. | 1.00 | infobox |
| Jin-šan | Stát | Čína Čína | 1.00 | infobox |
| Jin-šan | Světadíl | Asie | 1.00 | infobox |
| Jin-šan | related to Externí odkazy | Obrázky | 0.60 | section |
| Jin-šan | related to Externí odkazy | Wikimedia CommonsDas Yinshan-Gebirge | 0.60 | section |
| Jin-šan | related to Externí odkazy | Yinshan | 0.60 | section |
The concept neighborhoods around Jin-šan bring nearby vocabulary together. In this analysis, examples include Čínsky, Pchin-jinem and Přepisu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Jin-šan, one of the stronger structural bridges in this analysis connects Jin-šan 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 Jin-šan to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Jin-šan · CS edition · Analysis: TopicsToTalkAbout