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Oldenburg (dolnoněmecky: Ollnborg) je město s postavením městského okresu (Kreisfreie Stadt) v německém Dolním Sasku. Leží na západě této spolkové země mezi městy Brémy a Groningen v Nizozemsku na řece Hunte. Žije zde přibližně 175 tisíc obyvatel.
The analysis highlights Partnerská města, Dějiny and Významní rodáci as prominent areas in the source structure around Oldenburg.
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.
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 Oldenburg shows recurring relationship patterns in the source. For example, Oldenburg → Boxy, Brém, Datum, Dřevo, Heidenwall, Heidenwallu, Hunte, Ke, Na, Opevnění, Podle, Stavitelé, Tato, Vnitřek, Východního Fríska, Výška, Zeď Another extracted example is Oldenburg → Bundesinstitut, Carl, Deutschen, Europa, Evropě, Geschichte, Kultur, Němců, Oldenburgu, Ossietzky Universität Oldenburg, Ossietzkého, Univerzita Carla, Vysoké. 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.
století město města roce přibližně obyvatel opevnění roku stavba německo hunte zdi později 19 klasicistní dolnosaské zámek oldenburgu commons galerie
TTTA extracted 71 structured relationships around Oldenburg. Examples in this analysis include Oldenburg → Hustota zalidnění → 1 693,9 obyv./km² and Oldenburg → Nadmořská výška → 4 m n. m.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Oldenburg | Hustota zalidnění | 1 693,9 obyv./km² | 1.00 | infobox |
| Oldenburg | Nadmořská výška | 4 m n. m. | 1.00 | infobox |
| Oldenburg | Oficiální web | www.oldenburg.de | 1.00 | infobox |
| Oldenburg | Označení vozidel | OL | 1.00 | infobox |
| Oldenburg | Počet obyvatel | 174 629 (2023) | 1.00 | infobox |
| Oldenburg | PSČ | 26001–26135 | 1.00 | infobox |
| Oldenburg | Rozloha | 103,09 km² | 1.00 | infobox |
| Oldenburg | Souřadnice | 53°8′38″ s. š., 8°12′50″ v. d. | 1.00 | infobox |
| Oldenburg | Spolková země | Dolní Sasko | 1.00 | infobox |
| Oldenburg | Starosta | Jürgen Krogmann (SPD) | 1.00 | infobox |
| Oldenburg | Stát | Německo Německo | 1.00 | infobox |
| Oldenburg | Telefonní předvolba | 0441 | 1.00 | infobox |
The concept neighborhoods around Oldenburg bring nearby vocabulary together. In this analysis, examples include Roku, Století and Oldenburgu. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Oldenburg, one of the stronger structural bridges in this analysis connects Oldenburg with Partnerská města. 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 Oldenburg to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Partnerská města, Dějiny & Významní rodáci, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Oldenburg · CS edition · Analysis: TopicsToTalkAbout