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Ken Thompson: Kariéra, Overview & Ocenění
Kenneth Thompson (* 4. února 1943, New Orleans, Louisiana, USA) je programátor a informatik, jeden z tvůrců operačního systému Unix. V 60. letech 20. století se s Dennisem Ritchiem podílel na vývoji operačního systému Multics a na vývoji programovacího jazyka B – přímého předchůdce jazyka C. Thompson byl také jedním z tvůrců a vývojářů operačního systému…
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Ken Thompson topic overview
The analysis highlights Kariéra, Overview and Ocenění as prominent areas in the source structure around Ken Thompson.
Related topics
48
Source areas
5
Connected nodes
59
Extracted relationships
77
Concept neighborhoods
19
Bridge connections
59
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.
Overview · 20 topics
Kariéra · 19 topics
Ocenění · 6 topics
Biografie · 2 topics
Citáty · 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
Kalifornská univerzita v Berkeley (do 1965) Kalifornská univerzita v Berkeley (do 1966)
Narození
4. února 1943 (83 let) New Orleans
Občanství
Spojené státy americké
Ocenění
Cena IEEE Emanuela R. Pioreho (1982) Turingova cena (1983) ACM Software System Award (1983) Hammingova medaile (1990) Cena počítačového průkopníka (1994) … více na Wikidatech
Povolání
programátor a počítačový vědec
Web
cs.bell-labs.co/who/ken/
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 Ken Thompson 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 Ken Thompson shows recurring relationship patterns in the source. For example, Ken Thompson → Age, An Interview, Beyond, Brief Introduction, Comes, Compiler, Computer History Museum, Deep Blue, Garry Kasparov, HS Baird, IEEE Computer Society, Interview, Kasparov, Ken Thompson Computer Chess, Labs, LINFO, Mahoney, Michael, National Medal, New Another extracted example is Ken Thompson → Bon, CTTS, Dennisem Ritchiem, Když Bellovy, Multics, Multicsu, Perl, QED, Regulární, Ritchieho, Rob Pike, Thompson, Téměř, Unix, Unixu, Vytvořil. Use these groups to spot repeated connection types before inspecting the individual relationships.
Ken Thompson
Top relations
related to Externí odkazy· 37
Ken Thompson → Age, An Interview, Beyond, Brief Introduction, Comes, Compiler, Computer History Museum, Deep Blue, Garry Kasparov, HS Baird, IEEE Computer Society, Interview, Kasparov, Ken Thompson Computer Chess, Labs, LINFO, Mahoney, Michael, National Medal, New
related to Kariéra· 16
Ken Thompson → Bon, CTTS, Dennisem Ritchiem, Když Bellovy, Multics, Multicsu, Perl, QED, Regulární, Ritchieho, Rob Pike, Thompson, Téměř, Unix, Unixu, Vytvořil
related to IEEE Richarda W. Hammingova medaile· 8
Ken Thompson → Dennis Ritchie, Electrical, Electronics Engineers, Hammingovu, IEEE, IEEE Richardovu, Institute, UNIX
related to Biografie· 7
Ken Thompson → Berkeley, Elwyn Berlekamp, Kalifornské, Louisianě, New Orleansu, USA, Vedoucím
related to Reference· 2
Ken Thompson → Wikipedii, Wikipediia Ken Thompson
Alma mater· 1
Ken Thompson → Kalifornská univerzita v Berkeley (do 1965) Kalifornská univerzita v Berkeley (do 1966)
Narození· 1
Ken Thompson → 4. února 1943 (83 let) New Orleans
Občanství· 1
Ken Thompson → Spojené státy americké
Ocenění· 1
Ken Thompson → Cena IEEE Emanuela R. Pioreho (1982) Turingova cena (1983) ACM Software System Award (1983) Hammingova medaile (1990) Cena počítačového průkopníka (1994) … více na Wikidatech
Povolání· 1
Ken Thompson → programátor a počítačový vědec
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Ken Thompson 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 77 structured relationships around Ken Thompson. Examples in this analysis include Ken Thompson → Alma mater → Kalifornská univerzita v Berkeley (do 1965) Kalifornská univerzita v Berkeley (do 1966) and Ken Thompson → Narození → 4. února 1943 (83 let) New Orleans. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Ken Thompson
Alma mater
Kalifornská univerzita v Berkeley (do 1965) Kalifornská univerzita v Berkeley (do 1966)
1.00
infobox
Ken Thompson
Narození
4. února 1943 (83 let) New Orleans
1.00
infobox
Ken Thompson
Občanství
Spojené státy americké
1.00
infobox
Ken Thompson
Ocenění
Cena IEEE Emanuela R. Pioreho (1982) Turingova cena (1983) ACM Software System Award (1983) Hammingova medaile (1990) Cena počítačového průkopníka (1994) … více na Wikidatech
1.00
infobox
Ken Thompson
Povolání
programátor a počítačový vědec
1.00
infobox
Ken Thompson
Web
cs.bell-labs.co/who/ken/
1.00
infobox
Ken Thompson
Zaměstnavatelé
Bellovy laboratoře (1966–2000) Google (od 2006)
1.00
infobox
Ken Thompson
related to Biografie
New Orleansu
0.60
section
Ken Thompson
related to Biografie
Louisianě
0.60
section
Ken Thompson
related to Biografie
USA
0.60
section
Ken Thompson
related to Biografie
Kalifornské
0.60
section
Ken Thompson
related to Biografie
Berkeley
0.60
section
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 Ken Thompson bring nearby vocabulary together. In this analysis, examples include Ken, Thompson and And. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Ken Thompson
Ken
Thompson
And
Commons
New
Of
Operačního
Medaile
Multics
Turingova
Tvůrců
Pracoval
ken thompson
Ken
Thompson
And
Commons
Unix
Systému
New
Of
Operačního
Roce
Medaile
Multics
operačního systému
Systému
Unix
Ritchiem
Programovacího
Thompson
Roce
Tvůrců
Multics
Usa
Jazyka
Orleans
Podílel
new orleans
Programátor
Února
Hammingova
Medaile
Orleans
Cena
Usa
Ocenění
Tvůrců
Google
Ken
Commons
ieee - institute of electrical and electronics engineers
Of
Ocenění
Ken
And
Ieee
Commons
Unix
Thompson
Hammingova
Medaile
Orleans
Programátor
programovacího jazyka b
Jazyka
Programovacího
Go
Podílel
Ritchiem
Systému
Multics
Operačního
Unix
Google
Pracoval
Práce
4. února
Orleans
Programátor
New
Hammingova
Medaile
Ocenění
Tvůrců
Cena
Google
Usa
Ieee
Operačního
jazyka c
Programovacího
Go
Podílel
Ritchiem
Multics
Operačního
Unix
Systému
Google
Pracoval
Práce
Software
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 Ken Thompson, one of the stronger structural bridges in this analysis connects Ken Thompson 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Ken Thompson
Nodes60
Edges59
Triples77
Avg. degree1.97
Density0.033333
Components1
Source & methodology
TTTA analyzes the structure around Ken Thompson to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Kariéra, Overview & Ocenění, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
