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Tim O'Reilly (* 6. června 1954) je americký vydavatel a autor, zakladatel společnosti O'Reilly Media a intelektuál působící v Silicon Valley. Za jeho nejdůležitější knihu je považována publikace „WTF?: What's the Future and Why It's Up to Us“, která vyšla česky jako „WTF?: Co přinese budoucnost a jak ji přežít“. O'Reilly rovněž zpopularizoval pojmy…
The analysis highlights Kariéra, Kniha WTF and Život a vzdělání as prominent areas in the source structure around Tim O'Reilly.
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 Tim O'Reilly shows recurring relationship patterns in the source. For example, Tim O'Reilly → Amazon, Autor, Co, Dodává, Facebook, Forbes, Future, Google, IT, Jan Melvil Publishing, Klíčová, Odhaluje, Uber, Us, What's, Why It's Up, WTF, Za, Zároveň Another extracted example is Tim O'Reilly → Dale Dougherty, Darcy DiNucci, O'Reilly, O'Reilly Media Web, Spolu, Termín, Web, Zpopularizovali. 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.
o'reilly tim web roce jako jak media knihu budoucnost června wtf otevřený software 1954 publikace and to 2017 commons vydavatel
TTTA extracted 45 structured relationships around Tim O'Reilly. Examples in this analysis include Tim O'Reilly → Alma mater → Harvardova kolej and Tim O'Reilly → Choť → Jennifer Pahlka (od 2015) Christina O'Reilly. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tim O'Reilly | Alma mater | Harvardova kolej | 1.00 | infobox |
| Tim O'Reilly | Choť | Jennifer Pahlka (od 2015) Christina O'Reilly | 1.00 | infobox |
| Tim O'Reilly | Děti | Arwen O'Reilly Meara O'Reilly | 1.00 | infobox |
| Tim O'Reilly | Narození | 6. června 1954 (72 let) Cork | 1.00 | infobox |
| Tim O'Reilly | Občanství | Spojené státy americké | 1.00 | infobox |
| Tim O'Reilly | Ocenění | White Camel award (2007) | 1.00 | infobox |
| Tim O'Reilly | Povolání | vydavatel, spisovatel, počítačový vědec, inženýr, byznysmen a programátor | 1.00 | infobox |
| Tim O'Reilly | Web | tim.oreilly.com | 1.00 | infobox |
| Tim O'Reilly | related to Externí odkazy | Obrázky | 0.60 | section |
| Tim O'Reilly | related to Externí odkazy | Wikimedia Commons | 0.60 | section |
| Tim O'Reilly | related to Kniha WTF | Za | 0.60 | section |
| Tim O'Reilly | related to Kniha WTF | WTF | 0.60 | section |
The concept neighborhoods around Tim O'Reilly bring nearby vocabulary together. In this analysis, examples include Tim, Commons and Vydavatel. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tim O'Reilly, one of the stronger structural bridges in this analysis connects Tim O'Reilly with Kariéra. 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 Tim O'Reilly to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Kariéra, Kniha WTF & Život a vzdělání, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Tim O'Reilly · CS edition · Analysis: TopicsToTalkAbout