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Uedem: History, Notable people & Overview

Uedem (German pronunciation: ) is a municipality in the district of Cleves, in North Rhine-Westphalia, Germany. It is located near the border with the Netherlands.

Language: English [EN]
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Uedem topic overview

The analysis highlights History, Notable people and Overview as prominent areas in the source structure around Uedem.

Related topics
17
Source areas
3
Connected nodes
20
Extracted relationships
28
Concept neighborhoods
11
Bridge connections
20

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 · 12 topics
Overview · 4 topics
Notable people · 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.

Admin. region
Düsseldorf
Country
Germany
Dialling codes
0 28 25
District
Kleve
Elevation
21 m (69 ft)
Postal codes
47589

Suggested research paths

A focused starting point derived from the topic graph, ranked independently of the source article order.

Start with these areas

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

History

Notable people

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 Uedem connects Entity context

The extracted context around Uedem shows recurring relationship patterns in the source. For example, Uedem → Cleves, Frankish, In, In November, Odeheimero Marca, The, Treaty, Udo, Xanten Another extracted example is Uedem → Media, Wikimedia Commons, Wiktionary-logo-en-v2. Use these groups to spot repeated connection types before inspecting the individual relationships.

Uedem

Top relations

related to history · 9
Uedem → Cleves, Frankish, In, In November, Odeheimero Marca, The, Treaty, Udo, Xanten
related to External links · 3
Uedem → Media, Wikimedia Commons, Wiktionary-logo-en-v2
• Total · 2
Uedem → 60.93 km2 (23.53 sq mi), 8,163
Admin. region · 1
Uedem → Düsseldorf
Country · 1
Uedem → Germany
Dialling codes · 1
Uedem → 0 28 25
District · 1
Uedem → Kleve
Elevation · 1
Uedem → 21 m (69 ft)
Postal codes · 1
Uedem → 47589
State · 1
Uedem → North Rhine-Westphalia

Important terminology

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

Important terminology

mw-parser-output germany district north rhine-westphalia town municipality references kleve font-size 100 located border first cleves arms font-weight cdu history center

Uedem relationships Subject–Predicate–Object triples

TTTA extracted 28 structured relationships around Uedem. Examples in this analysis include Uedem → Admin. region → Düsseldorf and Uedem → Country → Germany. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
UedemAdmin. regionDüsseldorf1.00infobox
UedemCountryGermany1.00infobox
UedemDialling codes0 28 251.00infobox
UedemDistrictKleve1.00infobox
UedemElevation21 m (69 ft)1.00infobox
UedemPostal codes475891.00infobox
UedemStateNorth Rhine-Westphalia1.00infobox
UedemTime zoneUTC+01:00 (CET)1.00infobox
UedemVehicle registrationKLE1.00infobox
UedemWebsitewww.uedem.de1.00infobox
Uedem• Density134.0/km2 (347.0/sq mi)1.00infobox
Uedem• Mayor .mw-parser-output .nobold{font-weight:normal}(2020–25)Rainer Weber (CDU)1.00infobox
Uedem• Summer (DST)UTC+02:00 (CEST)1.00infobox
Uedem• Total60.93 km2 (23.53 sq mi)1.00infobox
Uedem• Total8,1631.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Uedem bring nearby vocabulary together. In this analysis, examples include Since, War and Font-size. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • district of cleves
    • Font-size
    • Germany
    • Municipality
    • North
    • References
    • Rhine-westphalia
    • Mw-parser-output
    • Arms
    • Font-weight
    • German
    • History
    • Infobox
  • germany
    • Municipality
    • North
    • References
    • Rhine-westphalia
    • Mw-parser-output
    • Arms
    • Font-weight
    • History
    • Infobox
    • Ipa-label-small
    • Kleve
    • Navbox
  • north rhine-westphalia
    • Germany
    • References
    • Rhine-westphalia
    • Arms
    • Font-weight
    • History
    • Kleve
    • Border
    • Cdu
    • Center
    • Dark
    • Filter
  • history
    • Arms
    • Font-weight
    • Kleve
    • Cdu
    • Center
    • Dark
    • Filter
    • Html
    • Img
    • Located
    • Media
    • Municipality
  • town
    • Privileges
    • First
    • Kleve
    • Uedem
    • Cdu
    • City
    • Dark
    • Filter
    • Html
    • Img
    • Prefers-color-scheme
    • Screen
  • first french republic
    • Privileges
    • Town
    • City
    • Uedem
  • first peace of paris
    • Privileges
    • Town
    • City
    • Uedem
  • world war 2
    • Since
    • Center
    • City
    • Uedem

Connections between topic areas Semantic bridges

For Uedem, one of the stronger structural bridges in this analysis connects Uedem 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.

Min side: 3
UedemHistory · splits 8 ⟂ 13
UedemOverview · splits 16 ⟂ 5

Map overview Semantic statistics

Uedem

Nodes21
Edges20
Triples28
Avg. degree1.9
Density0.095238
Components1

Source & methodology

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

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

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