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Robocop: Videohry, Děj filmu & Overview
Robocop (v anglickém originále RoboCop, v českém překladu robotický policista) je akční sci-fi film USA z roku 1987 režiséra Paula Verhoevena. V hlavní roli představuje policistu Alexe Murphyho (hraje Peter Weller), který je brutálně zavražděn kriminálním gangem a na scénu se vrací jako kyborg. Náklady na natočení byly 13 milionů USD, tržba v Severní…
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Robocop topic overview
The analysis highlights Videohry, Děj filmu and Overview as prominent areas in the source structure around Robocop.
Related topics
41
Source areas
3
Connected nodes
47
Extracted relationships
66
Concept neighborhoods
8
Bridge connections
47
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.
Videohry · 20 topics
Overview · 13 topics
Děj filmu · 8 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.
Délka
102 min
Hlavní role
Peter Weller Nancy Allen Dan O'Herlihy Ronny Cox Kurtwood Smith
Hudba
Basil Poledouris
Jazyk
angličtina
Kamera
Jost Vacano
Ocenění
Cena Saturn za nejlepší sci-fi film (1988)
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 Robocop 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 Robocop shows recurring relationship patterns in the source. For example, Robocop → Alex Murphy, Bob Morton, Clarance Boddickera, Delta City, Detroit, Detroitu, Dicka Jonese, ED-209, Film, Jeho, Jejich, Kurtwood Smith, Miguel Ferrer, Mortonova, Murphyho, Murphyho Louisová, OCP, Peter Weller, Policie, Původní Another extracted example is Robocop → Amiga, Amstrad CPC, Android, Atari ST, Commodore, DOS, Game Boy, Game Boy Color, GameCube, Master System, Mega Drive, NES, PlayStation, RoboCop Versus, Rogue City, SNES, Terminator, Windows, Xbox, Xbox Series X/S. Use these groups to spot repeated connection types before inspecting the individual relationships.
Robocop
Top relations
related to Děj filmu· 24
Robocop → Alex Murphy, Bob Morton, Clarance Boddickera, Delta City, Detroit, Detroitu, Dicka Jonese, ED-209, Film, Jeho, Jejich, Kurtwood Smith, Miguel Ferrer, Mortonova, Murphyho, Murphyho Louisová, OCP, Peter Weller, Policie, Původní
related to Videohry· 21
Robocop → Amiga, Amstrad CPC, Android, Atari ST, Commodore, DOS, Game Boy, Game Boy Color, GameCube, Master System, Mega Drive, NES, PlayStation, RoboCop Versus, Rogue City, SNES, Terminator, Windows, Xbox, Xbox Series X/S
related to Externí odkazy· 4
Robocop → Internet Movie Database, Obrázky, Slovenské, Wikimedia CommonsRoboCop
Délka· 1
Robocop → 102 min
Hlavní role· 1
Robocop → Peter Weller Nancy Allen Dan O'Herlihy Ronny Cox Kurtwood Smith
Hudba· 1
Robocop → Basil Poledouris
Jazyk· 1
Robocop → angličtina
Kamera· 1
Robocop → Jost Vacano
Ocenění· 1
Robocop → Cena Saturn za nejlepší sci-fi film (1988)
Premiéra· 1
Robocop → 1987 17. července 1987 (USA) 7. ledna 1988 (Německo)
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.
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 66 structured relationships around Robocop. Examples in this analysis include Robocop → Délka → 102 min and Robocop → Hlavní role → Peter Weller Nancy Allen Dan O'Herlihy Ronny Cox Kurtwood Smith. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Robocop
Délka
102 min
1.00
infobox
Robocop
Hlavní role
Peter Weller Nancy Allen Dan O'Herlihy Ronny Cox Kurtwood Smith
1.00
infobox
Robocop
Hudba
Basil Poledouris
1.00
infobox
Robocop
Jazyk
angličtina
1.00
infobox
Robocop
Kamera
Jost Vacano
1.00
infobox
Robocop
Ocenění
Cena Saturn za nejlepší sci-fi film (1988)
1.00
infobox
Robocop
Premiéra
1987 17. července 1987 (USA) 7. ledna 1988 (Německo)
1.00
infobox
Robocop
Produkce
Jon Davison
1.00
infobox
Robocop
Produkční společnost
Orion Pictures
1.00
infobox
Robocop
Původní název
RoboCop
1.00
infobox
Robocop
Režie
Paul Verhoeven
1.00
infobox
Robocop
Rozpočet
13 mil. $
1.00
infobox
Robocop
Scénář
Edward Neumeier Michael Miner
1.00
infobox
Robocop
Střih
Frank J. Urioste
1.00
infobox
Robocop
Tržby
53,4 mil. $ (USA) 53,4 mil. $ (celosvětově)
1.00
infobox
Robocop
Země původu
Spojené státy americké Spojené státy americké
1.00
infobox
Robocop
Žánry
akční film sci-fi film superhrdinský film dystopický film film spekulativní fikce filmový thriller splatter kyberpunk
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 Robocop bring nearby vocabulary together. In this analysis, examples include Film, Sci-fi and Roku. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Robocop
Film
Sci-fi
Roku
Usa
Poté
Původní
Jeho
Jonese
Ocp
Ledna
Mil
Německo
robocop
Film
Sci-fi
Roku
Usa
Poté
Původní
Jeho
Jonese
Ocp
Ledna
Mil
Německo
robocop 2
Film
Sci-fi
Roku
Usa
Poté
Původní
Jeho
Jonese
Ocp
Ledna
Mil
Německo
robocop 3
Film
Sci-fi
Roku
Usa
Poté
Původní
Jeho
Jonese
Ocp
Ledna
Mil
Německo
sci-fi film
Usa
Sci-fi
Americké
Datové
Fdb
Imdb
Kinoboxu
Položky
Roku
Spojené
Státy
Čsfd
peter weller
Peter
Weller
Hlavní
Akční
Americké
Spojené
Státy
Jako
Murphyho
Původní
Sci-fi
Film
akční
Sci-fi
Film
Americké
Hlavní
Roku
Spojené
Státy
Usa
Peter
Původní
Weller
Robocop
usa
Ledna
Mil
Německo
Července
Datové
Fdb
Imdb
Kinoboxu
Položky
Čsfd
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 Robocop, one of the stronger structural bridges in this analysis connects Robocop with Videohry. 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.
Robocop
Nodes48
Edges47
Triples66
Avg. degree1.96
Density0.041667
Components1
Source & methodology
TTTA analyzes the structure around Robocop to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Videohry, Děj filmu & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
