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ChessBase: History, Companies & Products
ChessBase is a German company that develops and sells chess software, maintains a chess news site, and operates an internet chess server for online chess. Founded in 1986, it maintains and sells large-scale databases containing the moves of recorded chess games. The databases contain data from prior games and provide engine analyses of games. Endgame…
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ChessBase topic overview
The analysis highlights History, Companies and Products as prominent areas in the source structure around ChessBase.
Related topics
71
Source areas
7
Connected nodes
78
Extracted relationships
99
Concept neighborhoods
24
Bridge connections
78
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.
History · 39 topics
Playchess · 12 topics
The company · 8 topics
Overview · 5 topics
Criticism and legal issues · 3 topics
The database · 3 topics
Related computer programs · 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.
Current status
Active
Registration
Yes
Type of site
Internet chess server, Social media website
URL
playchess.com
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 ChessBase 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 ChessBase shows recurring relationship patterns in the source. For example, ChessBase → Atari ST, Bonn, Computer-schach, Dutch, Frans Morsch's Fritz, Frederic Friedel, Friedel, Fritz, Garry Kasparov, In, John Nunn, Kasparov, Knightstalker, Mathias Feist, Matthias Wüllenweber, MS-DOS, PCs, Spiele, Starting, The August Another extracted example is ChessBase → Amruta Mokal, ChessBase India, ChessBaseUSA, Data Becker, Encore, Fritz, German, Germany, Hamburg, IM, In, Inc, India, International Master, Sagar Shah, Schach Genie, Shredder, The, United States, Viva Media. Use these groups to spot repeated connection types before inspecting the individual relationships.
ChessBase
Top relations
related to history· 23
ChessBase → Atari ST, Bonn, Computer-schach, Dutch, Frans Morsch's Fritz, Frederic Friedel, Friedel, Fritz, Garry Kasparov, In, John Nunn, Kasparov, Knightstalker, Mathias Feist, Matthias Wüllenweber, MS-DOS, PCs, Spiele, Starting, The August
related to The company· 20
ChessBase → Amruta Mokal, ChessBase India, ChessBaseUSA, Data Becker, Encore, Fritz, German, Germany, Hamburg, IM, In, Inc, India, International Master, Sagar Shah, Schach Genie, Shredder, The, United States, Viva Media
related to Playchess· 14
ChessBase → Alternately, As, February, Fritz, Fritz GUI, Guests, Hikaru Nakamura, Junior, Michael Adams, New, Nigel Short, Playchess, Shredder, With
related to The database· 12
ChessBase → Atari ST, Belt, CBH, DOS, In, Jeroen, Lutz Nebe, Mathias Feist, Matthias Wüllenweber, PGN, The, Wolfgang Haar
related to Other publications· 7
ChessBase → All, CDs, ChessBase Magazine, ChessBase Reader, DVD, DVDs, They
related to News site· 6
ChessBase → ChessBase News, English, German, Hindi, Spanish, The
related to Criticism and legal issues· 5
ChessBase → Fat Fritz, Leela Chess Zero, Lichess, Stockfish, The
related to Related computer programs· 4
ChessBase → BBC Micro, BBChessBase, Gerritt Reubold's Der Bringer, Peter Tate
Current status· 1
ChessBase → Active
Registration· 1
ChessBase → Yes
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 99 structured relationships around ChessBase. Examples in this analysis include ChessBase → Current status → Active and ChessBase → Registration → Yes. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
ChessBase
Current status
Active
1.00
infobox
ChessBase
Registration
Yes
1.00
infobox
ChessBase
Type of site
Internet chess server, Social media website
1.00
infobox
ChessBase
URL
playchess.com
1.00
infobox
ChessBase
is a
German company that develops and sells chess software
0.90
text
the Trompowsky Attack or Mating Attacks against 0-0
instance of
and soon authoring game database CD-ROMs on topics
0.80
text
Fritz supports cloud engines
instance of
followed by Robert Houdart's Houdini and Don Dailey and Larry Kaufman's Komodo engines.Recent versions of ChessBase and the engine GUIs
0.80
text
Fritz or Shredder in native ChessBase format or Universal Chess Interface
instance of
ChessBase can import engines either those
0.80
text
ChessBase
related to Criticism and legal issues
The
0.60
section
ChessBase
related to Criticism and legal issues
Stockfish
0.60
section
ChessBase
related to Criticism and legal issues
Fat Fritz
0.60
section
ChessBase
related to Criticism and legal issues
Lichess
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 ChessBase bring nearby vocabulary together. In this analysis, examples include Chess, Fritz and Released. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
ChessBase
Chess
Fritz
Released
Engine
Engines
Software
Added
Games
Database
Format
Also
Opening
chessbase
Chess
Fritz
Released
Engine
Engines
Software
Added
Games
Database
Format
Also
Opening
chess
Chessbase
Database
Internet
Engine
Fritz
Software
Computer
Playchess
World
Engines
Games
Maintains
internet chess server
Server
News
Chessbase
Site
Programs
Playchess
Database
Internet
Engine
Fritz
Software
Computer
chess engine
Chessbase
Added
Fritz
Database
Internet
Product
Stockfish
Engine
Interface
Software
Computer
Playchess
world computer chess championship
Kasparov
Chessbase
Shredder
Playchess
Computer
World
Database
Internet
Engine
Fritz
News
Software
universal chess interface
Chessbase
Shredder
Database
Internet
Released
Engine
Engines
Fritz
Software
Computer
Playchess
World
chess variants
Chessbase
Database
Internet
Engine
Fritz
Software
Computer
Playchess
World
Engines
Games
Maintains
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 ChessBase, one of the stronger structural bridges in this analysis connects ChessBase with History. 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.
ChessBase
Nodes79
Edges78
Triples99
Avg. degree1.97
Density0.025316
Components1
Source & methodology
TTTA analyzes the structure around ChessBase to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
