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Ahaus (German pronunciation: ⓘ; Westphalian: Ausen) is a town in the district of Borken in the state of North Rhine-Westphalia, Germany. It is located near the border with the Netherlands, lying some 20 km south-east of Enschede and 15 km south from Gronau. Ahaus is the location of one of Germany's interim storage facilities for radioactive spent fuel.
The analysis highlights History and Politics as prominent areas in the source structure around Ahaus.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Each trail groups topics mentioned together in one source paragraph. Follow the links to explore that specific context; the order does not imply a factual sequence.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
The extracted context around Ahaus shows recurring relationship patterns in the source. For example, Ahaus → Aa, Ahaus Castle, Amt, Archbishop, Around, Bernhard, Bishopric, Cologne, Diepenheim, Haus, Hoya, In, It, Johann, John, Lifhard, Munster, Münster, Nevertheless, Otto IV Another extracted example is Ahaus → Cfb, Dobk, Köppen, Trewartha. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
germany borken mw-parser-output district north rhine-westphalia münster von lords noble town references 2025 font-size 100 state located border location netherlands
TTTA extracted 56 structured relationships around Ahaus. Examples in this analysis include Ahaus → Admin. region → Münster and Ahaus → Country → Germany. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Ahaus | Admin. region | Münster | 1.00 | infobox |
| Ahaus | Country | Germany | 1.00 | infobox |
| Ahaus | Dialling codes | 02561, 02567 | 1.00 | infobox |
| Ahaus | District | Borken | 1.00 | infobox |
| Ahaus | Highest elevation | 70 m (230 ft) | 1.00 | infobox |
| Ahaus | Lowest elevation | 36 m (118 ft) | 1.00 | infobox |
| Ahaus | Postal codes | 48683 | 1.00 | infobox |
| Ahaus | State | North Rhine-Westphalia | 1.00 | infobox |
| Ahaus | Subdivisions | 6 | 1.00 | infobox |
| Ahaus | Time zone | UTC+01:00 (CET) | 1.00 | infobox |
| Ahaus | Vehicle registration | BOR, AH, BOH | 1.00 | infobox |
| Ahaus | Website | www.ahaus.de | 1.00 | infobox |
| Ahaus | • Density | 265.64/km2 (688.01/sq mi) | 1.00 | infobox |
| Ahaus | • Mayor .mw-parser-output .nobold{font-weight:normal}(2025–30) | Karola Voß (Ind.) | 1.00 | infobox |
| Ahaus | • Summer (DST) | UTC+02:00 (CEST) | 1.00 | infobox |
| Ahaus | • Total | 151.24 km2 (58.39 sq mi) | 1.00 | infobox |
| Ahaus | • Total | 40,176 | 1.00 | infobox |
| Ahaus | is a | location of one of Germany's interim storage facilities for radioactive spent fuel | 0.90 | text |
The concept neighborhoods around Ahaus bring nearby vocabulary together. In this analysis, examples include Von, Castle and Lords. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Ahaus, one of the stronger structural bridges in this analysis connects Ahaus with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Ahaus to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Politics, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Ahaus · EN edition · Analysis: TopicsToTalkAbout