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Daurové

Daurové, Dagurové, Dachurové (mongolsky дагуур, čínsky v českém přepisu Ta-wo-er-cu, pchin-jinem Dáwò'ěrzú, znaky zjednodušené 达斡尔族) je národ žijící v severních regionech Čínské lidové republiky, většinou ve Vnitřním Mongolsku a Chej-lung-ťiangu, menší počet též v Sin-ťiangu. jsou jedním z 56 oficiálně uznaných menšinových národů Čínské lidové republiky

[CS, Czech, Čeština]

Historie, Jazyk & Rozšíření

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Explore the main themes, entities and connections around Daurové. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Jazyk

Rozšíření

Historie

Odkazy

  • ISSN International Standard Serial Number

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

Daurové

Nodes39
Edges38
Triples27
Avg. degree1.95
Density0.051282
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

Daurové

Top relations

related to Historie · 12
Daurové → Amuru, Bureji, Daurie, Do, Genetické, Gogulové, Jihovýchodně, Kitanů, Poamuří, Podle Daurů, Rusové, Zeji
related to Rozšíření · 10
Daurové → Chej-lung-ťiang, Cicikaru, Daurské, Daurském, Mej-li-s, Morin Dawa, Několik, Sin-ťiang, Tcha-čcheng, Vnitřního Mongolska
related to Externí odkazy · 5
Daurové → Dostupné, ISSN, Obrázky, Wikimedia CommonsЦЫБЕНОВ, XVII

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

daurština online roku čínské lidové republiky 2010 131 992 století dostupné rusky jsou sin-ťiang cicikaru amuru daurská čínsky pchin-jinem znaky

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
Daurovérelated to Externí odkazyObrázky0.60section
Daurovérelated to Externí odkazyWikimedia CommonsЦЫБЕНОВ0.60section
Daurovérelated to Externí odkazyXVII0.60section
Daurovérelated to Externí odkazyDostupné0.60section
Daurovérelated to Externí odkazyISSN0.60section
Daurovérelated to HistorieGenetické0.60section
Daurovérelated to HistorieKitanů0.60section
Daurovérelated to HistorieDo0.60section
Daurovérelated to HistorieAmuru0.60section
Daurovérelated to HistorieZeji0.60section
Daurovérelated to HistorieBureji0.60section
Daurovérelated to HistorieJihovýchodně0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.