Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Kamakura (japonsky 鎌倉市, Kamakura-ši) je město ležící v japonské prefektuře Kanagawa na ostrově Honšú asi 50 km na jihojihovýchod od Tokia.
The analysis highlights Významné památky, Partnerská města and Rodáci as prominent areas in the source structure around Kamakura.
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 Kamakura shows recurring relationship patterns in the source. For example, Kamakura → Cestovní, Obrázky, Oficiální, Wikimedia Commons, Wikimedia Commons Galerie Kamakura, Wikivoyage Another extracted example is Kamakura → 18-10 Onarimachi, Kamakura-shi, Kanagawa-ken 248-8686. 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.
města 50 japonsko commons město kanagawa obyvatel 39 53 km² městě radnice znak vlajka 35 19 139 32 datové položky
TTTA extracted 18 structured relationships around Kamakura. Examples in this analysis include Kamakura → Adresa obecního úřadu → 18-10 Onarimachi, Kamakura-shi, Kanagawa-ken 248-8686 and Kamakura → Hustota zalidnění → 4 409,7 obyv./km². The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Kamakura | Adresa obecního úřadu | 18-10 Onarimachi, Kamakura-shi, Kanagawa-ken 248-8686 | 1.00 | infobox |
| Kamakura | Hustota zalidnění | 4 409,7 obyv./km² | 1.00 | infobox |
| Kamakura | Oficiální web | www.city.kamakura.kanagawa.jp | 1.00 | infobox |
| Kamakura | Počet obyvatel | 174 314 (září 2016) | 1.00 | infobox |
| Kamakura | Prefektura | Kanagawa | 1.00 | infobox |
| Kamakura | PSČ | 247-0052–248-0036 | 1.00 | infobox |
| Kamakura | Region | Kantó | 1.00 | infobox |
| Kamakura | Rozloha | 39,53 km² | 1.00 | infobox |
| Kamakura | Souřadnice | 35°19′9″ s. š., 139°32′50″ v. d. | 1.00 | infobox |
| Kamakura | Starosta | Takashi Matsuo | 1.00 | infobox |
| Kamakura | Stát | Japonsko Japonsko | 1.00 | infobox |
| Kamakura | Telefonní předvolba | 0467-23-3000 | 1.00 | infobox |
The concept neighborhoods around Kamakura bring nearby vocabulary together. In this analysis, examples include Commons, Japonsko and Kanagawa. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Kamakura, one of the stronger structural bridges in this analysis connects Kamakura 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 Kamakura to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Významné památky, Partnerská města & Rodáci, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Kamakura · CS edition · Analysis: TopicsToTalkAbout