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Toronto (anglicky təˈrɒntoʊ) je s přibližně 2,79 milionu obyvateli nejlidnatějším městem Kanady a zároveň hlavním městem provincie Ontario. Je situováno v jižní části provincie, na severozápadním břehu stejnojmenného jezera.
The analysis highlights Osobnosti, Partnerská města and Sport as prominent areas in the source structure around Toronto.
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 Toronto shows recurring relationship patterns in the source. For example, Toronto → Allan Gardens, Black Creek, Canada's National Ballet School, Canadian National Exhibition, Casa Loma, Chinatown, Clay, CNE, Distillery District, Dundas Street East, Dundas Street West, Exhibition Place, Farm, Financial District, Glass Gallery, Henryho Pellata, Je, Jejím, Kanadě, Kesington Market Another extracted example is Toronto → Centreville, Díky, Economist Intelligence Unit, High Park, Kanady, Kolem, Living, Mercer Quality, Na, Právě, Přestože, Přítomnost, Toronta. 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 město ontario roce zde provincie toronta kanady obyvatel york kanada centru park hlavním jako scarborough během století muzeum městem
TTTA extracted 103 structured relationships around Toronto. Examples in this analysis include Toronto → Hustota zalidnění → 4 427,8 obyv./km² and Toronto → Městské části Toronta → East York, Etobicoke, North York, Old Toronto, Scarborough, York. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Toronto | Hustota zalidnění | 4 427,8 obyv./km² | 1.00 | infobox |
| Toronto | Městské části Toronta | East York, Etobicoke, North York, Old Toronto, Scarborough, York | 1.00 | infobox |
| Toronto | Nadmořská výška | 76 m n. m. | 1.00 | infobox |
| Toronto | Oficiální web | www.toronto.ca | 1.00 | infobox |
| Toronto | Počet obyvatel | 2 794 356 (2021) | 1.00 | infobox |
| Toronto | Provincie | Ontario | 1.00 | infobox |
| Toronto | PSČ | M | 1.00 | infobox |
| Toronto | Rozloha | 631,10 km² | 1.00 | infobox |
| Toronto | Souřadnice | 43°39′ s. š., 79°22′48″ z. d. | 1.00 | infobox |
| Toronto | Starosta | Olivia Chow | 1.00 | infobox |
| Toronto | Stát | Kanada Kanada | 1.00 | infobox |
| Toronto | Telefonní předvolba | (416),(647) a (437, od března 2013) | 1.00 | infobox |
| Toronto | Vznik | 1750 | 1.00 | infobox |
The concept neighborhoods around Toronto bring nearby vocabulary together. In this analysis, examples include Města, York and Profesionální. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Toronto, one of the stronger structural bridges in this analysis connects Toronto with Osobnosti. 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 Toronto to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Osobnosti, Partnerská města & Sport, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Toronto · CS edition · Analysis: TopicsToTalkAbout