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Žarošice: Osobnosti, Odkazy & Overview
Žarošice (německy Scharoschitz) jsou obec a poutní místo v okrese Hodonín v Jihomoravském kraji. Leží v oblasti Ždánického lesa, dvanáct kilometrů západně od Kyjova. Obcí protéká Zdravovodský potok. Žije zde přibližně 1 100 obyvatel. Je členem sdružení Mikroregion Ždánicko a Sdružení obcí Severovýchod. Jedná se o vinařskou obec ležící na Slovácku ve…
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Žarošice topic overview
The analysis highlights Osobnosti, Odkazy and Overview as prominent areas in the source structure around Žarošice.
Related topics
76
Source areas
10
Connected nodes
86
Extracted relationships
140
Concept neighborhoods
25
Bridge connections
86
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.
Osobnosti · 22 topics
Overview · 18 topics
Odkazy · 13 topics
Pamětihodnosti · 8 topics
Doprava · 6 topics
Historie · 3 topics
Obecní správa · 3 topics
Název · 1 topics
Sport · 1 topics
Těžba ropy · 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.
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 Žarošice 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 Žarošice shows recurring relationship patterns in the source. For example, Žarošice → Antonín, Brno, Burtgart, BĚLIČ, COLLEDANI, Divotvůrkyni Moravy, Divotvůrkyně Moravy, Evangelista, FROLEC, HANDLÍŘ-MOUŘÍNOVSKÝ, Historicko-vlastivědný, Historie, HROUDNÝ, ISBN, Jakub, Jan, Jaromír, Jaroslav, Josef, KOLEK Another extracted example is Žarošice → Armády, Augusta Hemerky, Blažek, Broukal, Divotvůrkyně Moravy, František Hanzl, Frydrych, Jana II, Janem Pavlem II, Josef Konečný, Josef Maria Miroš Handlíř-Mouřínovský, Karel Bělohoubek, Kladna, Lichtenštejna, LumírPhDr, Malík, Marian Rudolf Kosík, Papežská, Pohanka, Praem. Use these groups to spot repeated connection types before inspecting the individual relationships.
Žarošice → Armády, Augusta Hemerky, Blažek, Broukal, Divotvůrkyně Moravy, František Hanzl, Frydrych, Jana II, Janem Pavlem II, Josef Konečný, Josef Maria Miroš Handlíř-Mouřínovský, Karel Bělohoubek, Kladna, Lichtenštejna, LumírPhDr, Malík, Marian Rudolf Kosík, Papežská, Pohanka, Praem
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 140 structured relationships around Žarošice. Examples in this analysis include Žarošice → Adresa obecního úřadu → Žarošice 14 696 34 Žarošice [email protected] and Žarošice → Geodata (OSM) → OSM, WMF. The table shows each extracted connection, where it came from and its confidence.
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 Žarošice bring nearby vocabulary together. In this analysis, examples include Žarošské, Žarošicích and Jaroslav. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
radostná cesta k staré matce boží žarošské
Staré
Matky
Boží
Matce
Žarošské
Žarošicích
Kostela
Commons
Rudolf
Ii
Občan
Čestný
poutní místo
Místo
Poutní
Hodonín
Žarošice
Žarošicích
Staré
Obec
Matky
Ii
Josef
Občan
Čestný
jan pavel ii.
Občan
Čestný
Josef
Obce
Rudolf
Zde
Jaroslav
Žarošic
Žarošské
Žarošice
Matky
Roce
jana ii. z lichtenštejna
Občan
Čestný
Josef
Obce
Rudolf
Zde
Jaroslav
Žarošic
Žarošské
Žarošice
Matky
Roce
ii/419
Občan
Čestný
Josef
Obce
Rudolf
Zde
Jaroslav
Žarošic
Žarošské
Žarošice
Matky
Roce
čestný občan
Čestný
Ii
Josef
Rudolf
Zde
Žarošice
Jaroslav
Žarošic
Žarošské
Roce
Poutní
Žarošicích
josef frydrych
Ii
Jaroslav
Občan
Čestný
Obce
Zde
Žarošic
Poutní
Žarošice
Žarošicích
josef maria miroš handlíř-mouřínovský
Ii
Jaroslav
Občan
Čestný
Obce
Zde
Žarošic
Poutní
Žarošice
Žarošicích
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 Žarošice, one of the stronger structural bridges in this analysis connects Žarošice with Osobnosti. 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.
Žarošice
Nodes87
Edges86
Triples140
Avg. degree1.98
Density0.022989
Components1
Source & methodology
TTTA analyzes the structure around Žarošice to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Osobnosti, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
