Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Moutier: History, Geography, Community & Politics
Moutier (French pronunciation: ; Arpitan: Motiér) is a municipality in Switzerland. Until 31 December 2025, the town belonged to the Jura bernois administrative district of the canton of Bern. On 28 March 2021, the population voted to secede and join the Canton of Jura. The decision entailed a lengthy process of transfer of competences between cantonal…
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Moutier topic overview
The analysis highlights History, Geography, Community and Politics as prominent areas in the source structure around Moutier.
Related topics
102
Source areas
13
Connected nodes
115
Extracted relationships
99
Concept neighborhoods
31
Bridge connections
115
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.
History · 38 topics
Notable people · 11 topics
Economy · 10 topics
Religion · 9 topics
Overview · 8 topics
Politics · 5 topics
Demographics · 4 topics
Education · 4 topics
Transport · 4 topics
Geography · 3 topics
Climate · 2 topics
Coat of arms · 2 topics
Heritage sites of national significance · 2 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.
Canton
Jura
Country
Switzerland
District
Moutier District
Elevation
535 m (1,755 ft)
ISO 3166 code
CH-JU
Postal code
2740
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 Moutier 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 Moutier shows recurring relationship patterns in the source. For example, Moutier → Abbey, BE, Bern, Between, Church, Delémont, Early Middle Ages, Everything, French, German, In, Monasterii, Monasterium, Moutier-Grandval Abbey, Much, Münster, Protestant Reformation, Reformed, Saint-Germain, Saint-Pierre Another extracted example is Moutier → Bern, During, Fachhochschule, Following, In Moutier, Kindergarten, Of, Primary, Secondary, Swiss, Switzerland, The, The Canton, There, This. Use these groups to spot repeated connection types before inspecting the individual relationships.
Moutier
Top relations
related to history· 25
Moutier → Abbey, BE, Bern, Between, Church, Delémont, Early Middle Ages, Everything, French, German, In, Monasterii, Monasterium, Moutier-Grandval Abbey, Much, Münster, Protestant Reformation, Reformed, Saint-Germain, Saint-Pierre
related to Education· 15
Moutier → Bern, During, Fachhochschule, Following, In Moutier, Kindergarten, Of, Primary, Secondary, Swiss, Switzerland, The, The Canton, There, This
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 99 structured relationships around Moutier. Examples in this analysis include Moutier → Canton → Jura and Moutier → Country → Switzerland. The table shows each extracted connection, where it came from and its confidence.
Maire Marcel Winistoerfer Centre (as of March 2021)
1.00
infobox
Moutier
• Parliament
Conseil de Ville with 41 members
1.00
infobox
Moutier
• Summer (DST)
UTC+02:00 (CEST)
1.00
infobox
Moutier
• Total
19.53 km2 (7.54 sq mi)
1.00
infobox
Moutier
• Total
7,348
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 Moutier bring nearby vocabulary together. In this analysis, examples include Jura, De and Switzerland. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Moutier
Jura
De
Switzerland
Municipality
Became
Century
Bern
Canton
District
Area
Population
Total
moutier
Jura
De
Switzerland
Municipality
Became
Century
Bern
Canton
District
Area
Population
Total
moutier railway station
Jura
De
Switzerland
Municipality
Became
Century
Bern
Canton
District
Area
Population
Total
solothurn–moutier
Jura
De
Switzerland
Municipality
Became
Century
Bern
Canton
District
Area
Population
Total
sonceboz-sombeval–moutier
Jura
De
Switzerland
Municipality
Became
Century
Bern
Canton
District
Area
Population
Total
jura bernois administrative district
Canton
District
Jura
Bern
De
Moutier
Town
New
Number
Opened
Built
Primary
canton of jura
Canton
Jura
Bern
District
Moutier
Town
Switzerland
Year
Municipality
Number
Century
Primary
municipality
Total
Students
People
Made
Employed
Residents
School
Switzerland
Canton
Jura
District
Number
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 Moutier, one of the stronger structural bridges in this analysis connects Moutier with History. 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.
Moutier
Nodes116
Edges115
Triples99
Avg. degree1.98
Density0.017241
Components1
Source & methodology
TTTA analyzes the structure around Moutier to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Geography, Community & Politics, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
