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Asuán: Památky & Overview
Asuán (أسوان, oficiální transkripce Aswān) je město na jihu Egypta, často nazývané branou černé Afriky. Leží v oblasti prvního nilského kataraktu, který od starověku tvořil přirozené hranice egyptského státu. Počet obyvatel je 275 000 (údaj z roku 2008). Asuán je hlavním městem Asuánského guvernorátu, nachází se tu jeden z kampusů South Valley…
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Asuán topic overview
The analysis highlights Památky and Overview as prominent areas in the source structure around Asuán.
Related topics
21
Source areas
2
Connected nodes
25
Extracted relationships
63
Related term clusters
9
Bridge connections
25
What this topic covers Research coverage
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.
Památky · 16 topics
Overview · 5 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Guvernorát
Asuánský
Hustota zalidnění
733,3 obyv./km²
Nadmořská výška
99 m n. m.
Počet obyvatel
275 000 (2008)
Rozloha
375 km²
Souřadnice
24°5′20″ s. š., 32°53′59″ v. d.
Tematické okruhy
Prozkoumejte skupiny témat propojených ve zdrojovém textu. Vyberte si libovolné téma; okruhy nemají určené pořadí.
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
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Advanced semantic analysis
How Asuán connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Asuán shows recurring relationship patterns in the source. For example, Asuán → Abú Simbel, Agilika, Amadě, Asuánu, Chrám, Eset, Kalábša, Kasr Ibrím, Kertassi, Káhiry, Luxoru, Nedostupnost, Nilu, Násirově, Philae, Ramessem II, Súdánem, Súdánu, Téměř, UNESCO Another extracted example is Asuán → Abu, Agatha Christie, Agy Chána, Asuánském, Elefantina, Hatšepsut, Kitchenerův, Koti, Na Elefantině, Nilu, Núbijské, Obelisk, Old Cataract, Poblíž, Simeona, Siou, Smrt, Turisticky. Use these groups to spot repeated connection types before inspecting the individual relationships.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 63 structured relationships around Asuán. Examples in this analysis include Asuán → Guvernorát → Asuánský and Asuán → Hustota zalidnění → 733,3 obyv./km². The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Asuán
Guvernorát
Asuánský
1.00
infobox
Asuán
Hustota zalidnění
733,3 obyv./km²
1.00
infobox
Asuán
Nadmořská výška
99 m n. m.
1.00
infobox
Asuán
Počet obyvatel
275 000 (2008)
1.00
infobox
Asuán
Rozloha
375 km²
1.00
infobox
Asuán
Souřadnice
24°5′20″ s. š., 32°53′59″ v. d.
1.00
infobox
Asuán
Status
město
1.00
infobox
Asuán
Stát
Egypt Egypt
1.00
infobox
Asuán
Telefonní předvolba
+20 97
1.00
infobox
Asuán
related to Doprava
Kromě
0.60
section
Asuán
related to Doprava
Nilu
0.60
section
Asuán
related to Galerie
Pohled
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Asuán bring nearby vocabulary together. In this analysis, examples include Míst, Ostrově and Commons. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Asuán
Míst
Ostrově
Commons
Elefantina
Galerie
Město
Perspektivy
Philae
Ptačí
Vlajka
Památky
Počet
asuán
Míst
Ostrově
Commons
Elefantina
Galerie
Město
Perspektivy
Philae
Ptačí
Vlajka
Památky
Počet
památky
Perspektivy
Ptačí
Vlajka
Datové
Egypt
Položky
Asuánský
Commons
Elefantina
Město
Mohou
Núbijské
elefantina
Ostrově
Položky
Galerie
Město
Obyvatel
Perspektivy
Philae
Ptačí
Vlajka
Mohou
Obelisk
Památky
philae
Ostrově
Commons
Elefantina
Galerie
Obelisk
Asuánu
Asuán
nilského kataraktu
Kataraktu
Nilského
Prvního
Oblasti
Nilu
kitchenerův ostrov
Núbijské
Památky
Století
obelisk
Philae
Ostrově
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Asuán, one of the stronger structural bridges in this analysis connects Asuán with Památky. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Asuán
Nodes26
Edges25
Triples63
Avg. degree1.92
Density0.076923
Components1
Source & methodology
TTTA analyzes the structure around Asuán to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Památky & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Asuán · CS edition · Analysis: TopicsToTalkAbout
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