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Marsciano: Historie, Administrativní členění & Partnerská města
Marsciano je město v italském regionu Umbrie, v provincii Perugia. Leží asi 25 km jihozápadně od Perugie, v údolí Valnestore (= Valle del Nestore) kolem řeky Nestore, která se vlévá do Tibery. Město patří k největším producentům cihel a keramických obkladaček ve střední Itálii, a také k centrům turistiky.
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Marsciano topic overview
The analysis highlights Historie, Administrativní členění and Partnerská města as prominent areas in the source structure around Marsciano.
Related topics
38
Source areas
7
Connected nodes
45
Extracted relationships
84
Concept neighborhoods
12
Bridge connections
45
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 · 13 topics
Administrativní členění · 8 topics
Overview · 6 topics
Partnerská města · 5 topics
Slavní rodáci · 3 topics
Odkazy · 2 topics
Památky a turistické cíle · 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.
Hustota zalidnění
111,5 obyv./km²
Nadmořská výška
184 m n. m.
Oficiální web
comune.marsciano.it
Označení vozidel
PG
Počet obyvatel
18 010 (2023)
Provincie
Perugia
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 Marsciano 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 Marsciano shows recurring relationship patterns in the source. For example, Marsciano → Badiola, Castello, Castiglione, Cerqueto, Collazzone, Collina, Compignano, Deruta, Forme, Fratta, Jsou, Každá, Mercatello, Migliano, Monte Vibiano Vecchio, Montelagello, Morcella, Město, Olmeto, Papiano Another extracted example is Marsciano → Amerina, Archeologickými, Benevento, Bulgarelli, Byzantinci, Byzantinců, Byzantského, Etrusků, Eugubino, Herulů, Je, Justiniána, Karolínské, Langobardů, Marcius, Marsciana, Martianus, Město, Název Marsciano, Ostrogóti. 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 84 structured relationships around Marsciano. Examples in this analysis include Marsciano → Hustota zalidnění → 111,5 obyv./km² and Marsciano → Nadmořská výška → 184 m n. m.. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Marsciano
Hustota zalidnění
111,5 obyv./km²
1.00
infobox
Marsciano
Nadmořská výška
184 m n. m.
1.00
infobox
Marsciano
Oficiální web
comune.marsciano.it
1.00
infobox
Marsciano
Označení vozidel
PG
1.00
infobox
Marsciano
Počet obyvatel
18 010 (2023)
1.00
infobox
Marsciano
Provincie
Perugia
1.00
infobox
Marsciano
PSČ
06055, 06072
1.00
infobox
Marsciano
Region
Umbrie
1.00
infobox
Marsciano
Rozloha
161,49 km²
1.00
infobox
Marsciano
Souřadnice
42°55′ s. š., 12°20′ v. d.
1.00
infobox
Marsciano
Stát
Itálie Itálie
1.00
infobox
Marsciano
Telefonní předvolba
075
1.00
infobox
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 Marsciano bring nearby vocabulary together. In this analysis, examples include Roku, Commons and Itálie. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Marsciano
Roku
Commons
Itálie
Regionu
Umbrie
Wikimedia
Perugia
Město
Datové
Položky
Itálii
Kolem
marsciano
Roku
Commons
Itálie
Regionu
Umbrie
Wikimedia
Perugia
Město
Datové
Položky
Itálii
Kolem
město
Umbrie
Perugia
Datové
Položky
Cihel
Commons
Itálie
Itálii
Obkladaček
Regionu
Wikimedia
Říše
provincii perugia
Todi
Umbrie
Datové
Položky
Commons
Itálie
Jsou
Regionu
Wikimedia
Města
San
Roce
perugie
Tibery
Del
Kolem
Valle
Valnestore
Marsciana
Nestore
san venanzo (tr)
Sant'apollinare
Todi
Valle
Století
Roce
Roku
todi
Perugia
Jsou
Města
San
Roce
italském regionu
Kolem
Umbrie
Perugia
Roku
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 Marsciano, one of the stronger structural bridges in this analysis connects Marsciano 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.
Marsciano
Nodes46
Edges45
Triples84
Avg. degree1.96
Density0.043478
Components1
Source & methodology
TTTA analyzes the structure around Marsciano to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Historie, Administrativní členění & Partnerská města, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
