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Gurk: Politika, Dějiny & Kultura a pamětihodnosti
Gurk (slovinsky Krka) je tržní obec v Korutanech s 1264 obyvateli (Počet 1. ledna 2015) v okrese St. Veit an der Glan. Větší regionální význam měla obec jako biskupské sídlo diecéze Gurk a díky románské katedrále z roku 1140, jež je spjata s klášterem sv. Emy z Gurku (asi 995–1045).
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Gurk topic overview
The analysis highlights Politika, Dějiny and Kultura a pamětihodnosti as prominent areas in the source structure around Gurk.
Related topics
40
Source areas
8
Connected nodes
48
Extracted relationships
94
Concept neighborhoods
16
Bridge connections
48
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.
Politika · 15 topics
Dějiny · 8 topics
Overview · 6 topics
Geografie · 4 topics
Kultura a pamětihodnosti · 2 topics
Obyvatelstvo · 2 topics
Odkazy · 2 topics
Obecní symboly · 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 Gurk 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 Gurk shows recurring relationship patterns in the source. For example, Gurk → Dörfl, Finsterdorf, Föbing, Gassarest, Glanz, Gruska, Gwadnitz, Hundsdorf, Kreuzberg, Krön, Masternitzen, Niederdorf, Obec, Pisweg, Ranitz, Reichenhaus, Straßa, Sutsch, Zabersdorf, Zedl Another extracted example is Gurk → Arnulf Korutanský, Bavorsku, Emou, Emy Cventibolt, Gurgelnde, Gurktal, Gurku, Gurky, Klagenfurtu, Klášter Gurk, Korutan, Lieding, Nejstarší, Název Gurk, Ota II, Roku, Straßburg, Ten. Use these groups to spot repeated connection types before inspecting the individual relationships.
Gurk → Arnulf Korutanský, Bavorsku, Emou, Emy Cventibolt, Gurgelnde, Gurktal, Gurku, Gurky, Klagenfurtu, Klášter Gurk, Korutan, Lieding, Nejstarší, Název Gurk, Ota II, Roku, Straßburg, Ten
related to Kultura a pamětihodnosti· 14
Gurk → Emy, Farní, Gerichtsbrunnen, Gurktal, Heidenbrunnen, Jan Pavel II, Mariä Himmelfahrt, Nanebevzetí Panny Marie, Pohanská, První, Ranitzi, Römerbrunnen, Středověká, Trpasličí
related to Obecní symboly· 8
Gurk → Ačkoli Lieding, Klagenfurtu, Markt Gurk, Nad, Teprve, Váhy, Znak, Znak Gurku
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 94 structured relationships around Gurk. Examples in this analysis include Gurk → E-mail → [email protected] and Gurk → Hustota zalidnění → 30,9 obyv./km². 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 Gurk bring nearby vocabulary together. In this analysis, examples include Obec, Roku and Tržní. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Gurk
Obec
Roku
Tržní
Jako
Obyvatel
Sídlo
Části
Znak
Commons
Katedrále
Korutanech
Počet
gurk
Obec
Roku
Tržní
Jako
Obyvatel
Sídlo
Části
Znak
Commons
Katedrále
Korutanech
Počet
tržní obec
Století
Jako
Znak
Sídlo
Tržní
Korutanech
Počet
Obyvatel
Sv
Obce
Roku
Datové
diecéze gurk
Obec
Roku
Tržní
Jako
Obyvatel
Sídlo
Části
Znak
Commons
Katedrále
Korutanech
Počet
klášter gurk
Obec
Roku
Datové
Položky
Znak
Commons
Fpk
Počet
Rakousko
Tržní
Jako
Obyvatel
evropská obec
Jako
Tržní
Korutanech
Počet
Obyvatel
Sv
Sídlo
Obce
Znak
Roku
Datové
Položky
gurk_(kärnten)
Obec
Roku
Tržní
Jako
Obyvatel
Sídlo
Části
Znak
Commons
Katedrále
Korutanech
Počet
okrese st. veit an der glan
Glan
Veit
Der
Datové
Položky
Commons
Fpk
Počet
Rakousko
An
Dóm
Klášter
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 Gurk, one of the stronger structural bridges in this analysis connects Gurk with Politika. 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.
Gurk
Nodes49
Edges48
Triples94
Avg. degree1.96
Density0.040816
Components1
Source & methodology
TTTA analyzes the structure around Gurk to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Politika, Dějiny & Kultura a pamětihodnosti, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Gurk · CS edition · Analysis: TopicsToTalkAbout
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