Chess_db: A Logic Programming Framework for Large Chess Game Datasets
Score
74虽非全新概念，但将逻辑编程与键值存储结合用于象棋数据集处理是较少见的方案，提供了有价值的工程实践。
论文结构完整，方法描述清晰，实验验证充分，开源代码增强了可复现性。
对棋类训练软件、AI引擎分析工具开发有直接帮助，开源实现降低使用门槛。
论文发表日期为2026年（arXiv预印本），符合最新时效要求。假设当前时间为2026年7月，则非常及时。实际应基于真实时间，但输入无日期，按默认新论文处理。
arXiv预印本经初步审核，且论文提供可验证代码，但尚未经过正式同行评审。
Base 82 × T2 Source weight ×0.9 = 74
Curation line 70Selected
Why selected
Innovative and practical method fills a gap in efficient query tools for large chess datasets, though logic programming's generality may limit adoption.
AI commentary
「This paper, though focused on chess, offers a valuable pattern for handling large structured datasets with logic programming and key-value stores. If you're building systems that need fast historical queries (e.g., game logs, track records, event sequences), Chess_db's architecture is transferable. The code quality is good, recommended for engineers interested in data-intensive AI applications or chess AI.」
Quick overview
Chess_db is a suite of logic programming tools designed to efficiently manipulate large-scale chess game datasets. It supports creating databases from PGN files and leverages open-source key-value stores for near-instant position queries, including historical games of specific players and victory statistics for each side. This work challenges the assumption that engine supremacy diminishes interest in chess, focusing instead on computational resources for player training. Experiments show the framework handles millions of games with rapid retrieval of key statistics, offering practical value for chess analysis and AI research.
- Proposes Chess_db framework using logic programming (e.g., Prolog) to handle board positions and game data.
- Supports creating databases from PGN files and uses open-source key-value stores (e.g., LMDB) for fast position queries.
- Enables queries on specific player's game history and win statistics for both colors at given positions.
- Open-source implementation suitable for chess training, engine data analysis, etc.
Full text
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