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Retrieval of similar chess positions

Ganguly, Debasis orcid logoORCID: 0000-0003-0050-7138, Leveling, Johannes orcid logoORCID: 0000-0003-0603-4191 and Jones, Gareth J.F. orcid logoORCID: 0000-0002-4033-9135 (2014) Retrieval of similar chess positions. In: 37th International ACM SIGIR conference on Research & Development in Information Retrieval (SIGIR 2014), 6-11 July 2014, Gold Coast, Australia.

Abstract
We address the problem of retrieving chess game positions similar to a given query position from a collection of archived chess games. We investigate this problem from an information retrieval (IR) perspective. The advantage of our proposed IR-based approach is that it allows using the standard inverted organization of stored chess positions, leading to an ecient retrieval. Moreover, in contrast to retrieving exactly identical board positions, the IR-based approach is able to provide approximate search functionality. In order to define the similarity between two chess board positions, we encode each game state with a textual representation. This textual encoding is designed to represent the position, reachability and the connectivity between chess pieces. Due to the absence of a standard IR dataset that can be used for this search task, a new evaluation benchmark dataset was constructed comprising of documents (chess positions) from a freely available chess game archive. Experiments conducted on this dataset demonstrate that our proposed method of similarity computation, which takes into account a combination of the mobility and the connectivities between the chess pieces, performs well on the search task, achieving MAP and nDCG values of 0:4233 and 0:6922 respectively.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Query by Example; Similar Chess Positions
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: Proceedings of ACM SIGIR 2014. .
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:20378
Deposited On:15 Jan 2015 14:51 by Gareth Jones . Last Modified 25 Oct 2018 09:30
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