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TED (zkratka ze slov „Technology, Entertainment, Design“ nověji vykládaná jako „Thinkers, Enablers, Doers“) je každoroční konference a platforma postavená kolem hesla „myšlenky hodné šíření“ (ideas worth spreading). Jádrem a nejznámějším výstupem TEDu jsou tzv. TED Talks, záznamy z vystoupení, ke kterým jsou zváni hosté z různorodých oblastí vědy…
The analysis highlights Dceřiné iniciativy, Portál TED.com and Odkazy as prominent areas in the source structure around TED.
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 TED shows recurring relationship patterns in the source. For example, TED → Bill Clinton, Bono, Cameron Sinclair2007, Charmian Gooch, Dave Eggers, Dave Isay, Edward, Edward Burtynsky, Global Witness2015, James Nachtwey2008, Jamie Oliver2011, Jehane Noujaim, Jill Tarterová, José Antonio Abreu2010, JR2012, Karen Armstrong2009, Larry Brilliant, Laureáti, Neil Turok, Od Another extracted example is TED → Formát, Jednotlivá, Jeho, Konference TED, Long Beach, Monterey, Po, Program, TEDu, Vancouveru. 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.
konference tedx vystoupení jako roku tedu 2009 jsou roce com 1984 platforma politiky díky samostatné světě zkratka ze talks záznamy
TTTA extracted 77 structured relationships around TED. Examples in this analysis include TED → Adresa sídla → New York, Spojené státy americké and TED → Datum založení → 23. února 1984. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| TED | Adresa sídla | New York, Spojené státy americké | 1.00 | infobox |
| TED | Datum založení | 23. února 1984 | 1.00 | infobox |
| TED | Majitel | Sapling Foundation | 1.00 | infobox |
| TED | Oficiální web | ted.com | 1.00 | infobox |
| TED | Zakladatel | Richard Saul Wurman | 1.00 | infobox |
| TED | related to Další konference pod hlavičkou TED | Kromě | 0.60 | section |
| TED | related to Další konference pod hlavičkou TED | TED Global | 0.60 | section |
| TED | related to Další konference pod hlavičkou TED | TED Summit | 0.60 | section |
| TED | related to Další konference pod hlavičkou TED | TED Fest | 0.60 | section |
| TED | related to Další konference pod hlavičkou TED | Své | 0.60 | section |
| TED | related to Další konference pod hlavičkou TED | TEDMED | 0.60 | section |
| TED | related to Další konference pod hlavičkou TED | Maisúru | 0.60 | section |
The concept neighborhoods around TED bring nearby vocabulary together. In this analysis, examples include Vystoupení, Konference and Roku. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For TED, one of the stronger structural bridges in this analysis connects TED with Dceřiné iniciativy. 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 TED to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Dceřiné iniciativy, Portál TED.com & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — TED · CS edition · Analysis: TopicsToTalkAbout