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New Chess_db framework simplifies analysis of large chess game datasets

By PulseAugur Editorial · [1 sources] ·

A new framework called Chess_db has been developed to manage and analyze large datasets of chess games. This toolset, built with logic programming, can efficiently handle game data in memory and through backend databases. It is particularly useful for creating databases from Portable Game Notation (PGN) files and exploring the use of open-source key-value databases for storing position tables, enabling rapid access to information across a vast number of games. AI

IMPACT Provides tools for researchers and developers working with large chess datasets, potentially aiding in the development of more sophisticated chess AI.

RANK_REASON The cluster contains an academic paper detailing a new framework for data analysis. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Chess_db framework simplifies analysis of large chess game datasets

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The cluster contains an academic paper detailing a new framework for data analysis. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Nicos Angelopoulos (University College,Imperial College, London UK), Jan Wielemaker (SWI-Prolog solutions) ·

    Chess\_db: A framework for working with large chess game datasets

    arXiv:2607.21195v1 Announce Type: cross Abstract: Chess is a two player strategic game that is embedded in classical AI culture as it was once the frontier for intelligent behaviour. There was the silent assumption that the advent of computer engines that play better than the bes…

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