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KnightCap is an open source computer chess engine. Its primary author is Andrew Tridgell and it was created circa 1996. Major contributions have also been made by Jon Baxter and probably minor contributions by a few others. KnightCap is free software released under the GNU General Public License (GPL).
The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around KnightCap.
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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.
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The extracted context around KnightCap shows recurring relationship patterns in the source. For example, KnightCap → fairly typical modern program, open source computer chess engine Another extracted example is KnightCap → GNU General Public License. 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.
chess now computer 1996 probably fairly slightly evaluation features programs 1990s applied quite engine author andrew tridgell gnu general public
TTTA extracted 8 structured relationships around KnightCap. Examples in this analysis include KnightCap → License → GNU General Public License and KnightCap → Original author → Andrew Tridgell. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| KnightCap | License | GNU General Public License | 1.00 | infobox |
| KnightCap | Original author | Andrew Tridgell | 1.00 | infobox |
| KnightCap | Platform | Unix | 1.00 | infobox |
| KnightCap | Type | Chess engine | 1.00 | infobox |
| KnightCap | Website | www.samba.org/KnightCap/ | 1.00 | infobox |
| KnightCap | Written in | C | 1.00 | infobox |
| KnightCap | is a | open source computer chess engine | 0.90 | text |
| KnightCap | is a | fairly typical modern program | 0.90 | text |
The concept neighborhoods around KnightCap bring nearby vocabulary together. In this analysis, examples include Chess, 1990s and Applied. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bridges highlight paths between different parts of the KnightCap map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around KnightCap to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — KnightCap · EN edition · Analysis: TopicsToTalkAbout