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Landek: Historie, Ekologie & Overview
Landek je zalesněný protáhlý kopec, ležící ve slezské části statutárního města Ostravy v katastrálním území Koblova a Petřkovic nad soutokem řek Odry a Ostravice v Ostravské pánvi v ostravských částech Koblov a Petřkovice. Jedná se o evropsky i světově známou lokalitu především z hlediska geologie, archeologie, historie, přírodovědy a hornictví. Její…
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Landek topic overview
The analysis highlights Historie, Ekologie and Overview as prominent areas in the source structure around Landek.
Related topics
77
Source areas
7
Connected nodes
84
Extracted relationships
79
Concept neighborhoods
17
Bridge connections
84
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.
Historie · 31 topics
Overview · 19 topics
Ekologie · 18 topics
Landecké pověsti · 3 topics
Zajímavosti · 3 topics
Geografie · 2 topics
Odkazy · 1 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.
Pohoří
Nízký Jeseník
Povodí
Odra
Souřadnice
49°52′14″ s. š., 18°16′18″ v. d.
Stát
Česko Česko
Světadíl
Evropa
Vrchol
280 m n. m.
Explore all related topics Closing gaps
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Landek 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 Landek shows recurring relationship patterns in the source. For example, Landek → Bohuslavem Klímou, Evropy, Francii, Hrad, Jedná, Jeho, Koblova, Landecký, Lidé, Matyáše Korvína, Na, Nacházejí, Odry, Petřkovic, Petřkovická, Polska, První, Právě, Předmostí, Přemysla Otakara II Another extracted example is Landek → Abies, Acer, Betula, Carpinus, Crex, Dendrocopos, Kromě, Landeku, Lilium, Microchiroptera, Muscicapa, Na, Neodolal, Odry, Opuštěné, Ostravsku, Po, Původní, Quercus, Reynoutria. 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 79 structured relationships around Landek. Examples in this analysis include Landek → Pohoří → Nízký Jeseník and Landek → Povodí → Odra. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Landek
Pohoří
Nízký Jeseník
1.00
infobox
Landek
Povodí
Odra
1.00
infobox
Landek
Souřadnice
49°52′14″ s. š., 18°16′18″ v. d.
1.00
infobox
Landek
Stát
Česko Česko
1.00
infobox
Landek
Světadíl
Evropa
1.00
infobox
Landek
Vrchol
280 m n. m.
1.00
infobox
Landek
related to Ekologie
Na
0.60
section
Landek
related to Ekologie
Kromě
0.60
section
Landek
related to Ekologie
Betula
0.60
section
Landek
related to Ekologie
Robinia
0.60
section
Landek
related to Ekologie
Quercus
0.60
section
Landek
related to Ekologie
Carpinus
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods 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 Landek bring nearby vocabulary together. In this analysis, examples include Commons, Ostravy and Rozhledna. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Landek
Commons
Ostravy
Rozhledna
Landeku
Historie
Petřkovic
Slezské
Česko
Hornické
Jedná
Let
Ostravsku
landek
Commons
Ostravy
Rozhledna
Landeku
Historie
Petřkovic
Slezské
Česko
Hornické
Jedná
Let
Ostravsku
slezské
Kopec
Ostravy
Petřkovic
Hradu
Hrad
Koblova
Odry
Landek
slezské ostravě
Kopec
Ostravy
Petřkovic
Hradu
Hrad
Koblova
Odry
Landek
odry
Ostravy
Petřkovic
Slezské
Hrad
Kopce
Zde
historie
Jedná
Pověsti
Rozhledna
Landeku
Landek
národní přírodní památka
Vrch
Přírodní
Kromě
Roku
Uhlí
ostravy
Petřkovic
Slezské
Odry
Roce
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 Landek, one of the stronger structural bridges in this analysis connects Landek 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Landek
Nodes85
Edges84
Triples79
Avg. degree1.98
Density0.023529
Components1
Source & methodology
TTTA analyzes the structure around Landek to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Ekologie & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
