Find related topics. | Discover entities. | See connections. | Build a topical map.
Building topical map: Starting…
Bill Gates: Životopis, Nadace Billa a Melindy Gatesových & Zajímavosti
William Henry Gates III, KBE (* 28. října 1955 Seattle, Washington), všeobecně známý jako Bill Gates, je americký podnikatel, investor a filantrop, někdejší spoluzakladatel společnosti Microsoft. Patří mezi nejbohatší lidi na světě, v listopadu 2023 činil jeho majetek 110 miliard dolarů.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
More settings
Bill Gates topic overview
The analysis highlights Životopis, Nadace Billa a Melindy Gatesových and Zajímavosti as prominent areas in the source structure around Bill Gates. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.
Related topics
86
Source areas
8
Connected nodes
95
Extracted relationships
73
Concept neighborhoods
16
Bridge connections
95
What this topic covers Research coverage
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.
Životopis · 37 topics
Nadace Billa a Melindy Gatesových · 17 topics
Zajímavosti · 11 topics
Overview · 9 topics
Vyznamenání · 5 topics
Bibliografie · 4 topics
Odkazy · 3 topics
Majetek · 1 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Alma mater
Lakeside School (1968–1973) Harvardova kolej (1973–1975)
Bydliště
Medina, Washington, USA
Choť
Melinda Gatesová (1994–2021)
Děti
Jennifer Katherine Gatesová Phoebe Adele Gatesová Rory John Gates
Funkce
chief executive officer (Microsoft; 1975–2000)
Majetek
96,5 mld. $ (2019) 89,8 mld. $ (2017)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Bill Gates connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Bill Gates shows recurring relationship patterns in the source. For example, Bill Gates → Bydlí, First Interstate Bank, French, Gates, Gatese, Havaji, Jeho, Jejich, Jennifer Katharine Gates, Mají, Mary Maxwell Gates, Melindou Gates, Melindy Gates, Nadaci Billa, Pacific Northwest Bell, Phoebe Adele Gates, Rory John Gates, Sr, Tento, United Way Another extracted example is Bill Gates → Androidem, Bruselu, Bushe, EuroScience, Evropské, Forbes, Gates, Gates Leicesterský, George, Leonarda, MicrosoftuV, Na, Nadace Gatesových, Noël Godin Gatesovi, Podle, Porsche, Při, Seattleském, Vinci, Václavem Klausem. Use these groups to spot repeated connection types before inspecting the individual relationships.
Bill Gates
Top relations
related to Původ a rodinný život· 22
Bill Gates → Bydlí, First Interstate Bank, French, Gates, Gatese, Havaji, Jeho, Jejich, Jennifer Katharine Gates, Mají, Mary Maxwell Gates, Melindou Gates, Melindy Gates, Nadaci Billa, Pacific Northwest Bell, Phoebe Adele Gates, Rory John Gates, Sr, Tento, United Way
Bill Gates relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 73 structured relationships around Bill Gates. Examples in this analysis include Bill Gates → Alma mater → Lakeside School (1968–1973) Harvardova kolej (1973–1975) and Bill Gates → Bydliště → Medina, Washington, USA. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Bill Gates
Alma mater
Lakeside School (1968–1973) Harvardova kolej (1973–1975)
1.00
infobox
Bill Gates
Bydliště
Medina, Washington, USA
1.00
infobox
Bill Gates
Choť
Melinda Gatesová (1994–2021)
1.00
infobox
Bill Gates
Děti
Jennifer Katherine Gatesová Phoebe Adele Gatesová Rory John Gates
1.00
infobox
Bill Gates
Funkce
chief executive officer (Microsoft; 1975–2000)
1.00
infobox
Bill Gates
Majetek
96,5 mld. $ (2019) 89,8 mld. $ (2017)
1.00
infobox
Bill Gates
Narození
28. října 1955 (70 let) Seattle, Washington, USA USA
1.00
infobox
Bill Gates
Občanství
Spojené státy americké
1.00
infobox
Bill Gates
Ocenění
Národní medaile za technologii a inovace (1992) Osoba roku Financial Times (1994) Distinguished Fellow of the British Computer Society (1994) čestný člen Americké knihovnické as…
1.00
infobox
Bill Gates
Povolání
technický poradce Microsoftu Spolupředseda Nadace Billa a Melindy Gatesových
1.00
infobox
Bill Gates
Příbuzní
Kristianne Gatesová a Libby Gatesová MacPheeová (sourozenci)
1.00
infobox
Bill Gates
Rodiče
William H. Gates a Mary Maxwell Gatesová
1.00
infobox
Bill Gates
Web
www.thegatesnotes.com
1.00
infobox
Bill Gates
Zaměstnavatelé
Nadace Billa a Melindy Gatesových Microsoft
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Bill Gates bring nearby vocabulary together. In this analysis, examples include Bill, Gates and Roce. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bill Gates
Bill
Gates
Roce
Gatesových
Usa
Microsoft
Nadace
Jako
Microsoftu
Roku
Commons
Jeho
bill gates
Bill
Gates
Roce
Gatesových
Usa
Microsoft
Nadace
Jako
Microsoftu
Roku
Commons
Jeho
nadace billa a melindy gatesových
Melindy
Gatese
Gatesových
Nadace
Majetek
Čestný
Microsoftu
Usa
Commons
Seattle
William
Října
28. října
Seattle
William
Washington
Microsoft
Kbe
Gatesových
Majetek
Melindy
Společnost
Čestný
Billa
Let
microsoft
Seattle
William
Října
Společnost
Washington
Usa
Společnosti
Commons
Basic
Gatesových
Majetek
Melindy
seattle
William
Října
Washington
Microsoft
Gatesových
Majetek
Melindy
Společnost
Čestný
Billa
Let
Usa
washington
William
Října
Microsoft
Gatesových
Majetek
Melindy
Společnost
Čestný
Billa
Let
Usa
Bill
majetek
Čestný
Usa
Seattle
William
Října
Melindy
Společnost
Washington
Gatese
Let
Světa
Microsoft
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Bill Gates, one of the stronger structural bridges in this analysis connects Bill Gates with Životopis. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Bill Gates
Nodes96
Edges95
Triples73
Avg. degree1.98
Density0.020833
Components1
Source & methodology
TTTA analyzes the structure around Bill Gates to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Životopis, Nadace Billa a Melindy Gatesových & Zajímavosti, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
