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Schönsee: Overview, Related Topics & Entities

Schönsee (German pronunciation: ⓘ) is a town in the Schwandorf district of Bavaria, Germany, near the border with the Czech Republic, 38 km northeast of Schwandorf, and 34 km southeast of Weiden in der Oberpfalz.

Language: English [EN]
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Schönsee topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Schönsee.

Related topics
6
Source areas
1
Connected nodes
7
Extracted relationships
16
Concept neighborhoods
8
Bridge connections
7

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.

Overview · 6 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.

Admin. region
Oberpfalz
Country
Germany
Dialling codes
0 96 74
District
Schwandorf
Elevation
655 m (2,149 ft)
Municipal assoc.
Schönsee

Explore all related topics Closing gaps

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.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Schönsee connects Entity context

The extracted context around Schönsee shows recurring relationship patterns in the source. For example, Schönsee → 2,269, 50.28 km2 (19.41 sq mi) Another extracted example is Schönsee → Oberpfalz. Use these groups to spot repeated connection types before inspecting the individual relationships.

Schönsee

Top relations

• Total · 2
Schönsee → 2,269, 50.28 km2 (19.41 sq mi)
Admin. region · 1
Schönsee → Oberpfalz
Country · 1
Schönsee → Germany
Dialling codes · 1
Schönsee → 0 96 74
District · 1
Schönsee → Schwandorf
Elevation · 1
Schönsee → 655 m (2,149 ft)
Municipal assoc. · 1
Schönsee → Schönsee
Postal codes · 1
Schönsee → 92539
State · 1
Schönsee → Bavaria
Time zone · 1
Schönsee → UTC+01:00 (CET)

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

schwandorf bavaria germany mw-parser-output district town oberpfalz references font-size 100 border aerial view coat arms font-weight ipa-label-small 85 infobox navbox

Schönsee relationships Subject–Predicate–Object triples

TTTA extracted 16 structured relationships around Schönsee. Examples in this analysis include Schönsee → Admin. region → Oberpfalz and Schönsee → Country → Germany. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
SchönseeAdmin. regionOberpfalz1.00infobox
SchönseeCountryGermany1.00infobox
SchönseeDialling codes0 96 741.00infobox
SchönseeDistrictSchwandorf1.00infobox
SchönseeElevation655 m (2,149 ft)1.00infobox
SchönseeMunicipal assoc.Schönsee1.00infobox
SchönseePostal codes925391.00infobox
SchönseeStateBavaria1.00infobox
SchönseeTime zoneUTC+01:00 (CET)1.00infobox
SchönseeVehicle registrationSAD1.00infobox
SchönseeWebsitewww.vg-schoensee.de1.00infobox
Schönsee• Density45.13/km2 (116.9/sq mi)1.00infobox
Schönsee• Mayor .mw-parser-output .nobold{font-weight:normal}(2020–26)Reinhard Kreuzer1.00infobox
Schönsee• Summer (DST)UTC+02:00 (CEST)1.00infobox
Schönsee• Total50.28 km2 (19.41 sq mi)1.00infobox
Schönsee• Total2,2691.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Schönsee bring nearby vocabulary together. In this analysis, examples include Bavaria, Germany and Aerial. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • schwandorf district
    • Border
    • District
    • Font-size
    • Oberpfalz
    • References
    • Schwandorf
    • Town
    • Bavaria
    • Germany
    • Mw-parser-output
    • Schönsee
    • Czech
  • bavaria
    • Germany
    • Mw-parser-output
    • Schönsee
    • Aerial
    • Arms
    • Border
    • Coat
    • District
    • Font-size
    • Font-weight
    • Oberpfalz
    • References
  • germany
    • Mw-parser-output
    • Schönsee
    • Aerial
    • Arms
    • Border
    • Coat
    • Font-weight
    • Oberpfalz
    • References
    • Schwandorf
    • Town
    • View
  • weiden in der oberpfalz
    • German
    • Infobox
    • Ipa-label-small
    • Km
    • Navbox
    • Near
    • Northeast
    • Pronunciation
    • References
    • Republic
    • Schwandorf
    • Southeast
  • czech republic
    • Der
    • German
    • Infobox
    • Ipa-label-small
    • Km
    • Navbox
    • Near
    • Northeast
    • Pronunciation
    • Republic
    • Southeast
    • Weiden
  • Schönsee
    • Bavaria
    • Germany
    • Aerial
    • Arms
    • Border
    • Coat
    • District
    • Font-weight
    • Oberpfalz
    • Schwandorf
    • Town
    • View
  • schönsee
    • Bavaria
    • Germany
    • Aerial
    • Arms
    • Border
    • Coat
    • District
    • Font-weight
    • Oberpfalz
    • Schwandorf
    • Town
    • View
  • schwandorf
    • Border
    • District
    • Oberpfalz
    • Town
    • Bavaria
    • Germany
    • Schönsee
    • Czech
    • Der
    • Km
    • Near
    • Northeast

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Schönsee map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Schönsee

Nodes8
Edges7
Triples16
Avg. degree1.75
Density0.25
Components1

Source & methodology

TTTA analyzes the structure around Schönsee to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Schönsee · EN edition · Analysis: TopicsToTalkAbout

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