Abstracting Knowledge from Annotated Chinese-Chess Game Records

  • Bo-Nian Chen
  • Pangfang Liu
  • Shun-Chin Hsu
  • Tsan-sheng Hsu
Conference paper

DOI: 10.1007/978-3-540-75538-8_9

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4630)
Cite this paper as:
Chen BN., Liu P., Hsu SC., Hsu T. (2007) Abstracting Knowledge from Annotated Chinese-Chess Game Records. In: van den Herik H.J., Ciancarini P., Donkers H.H.L.M.. (eds) Computers and Games. CG 2006. Lecture Notes in Computer Science, vol 4630. Springer, Berlin, Heidelberg

Abstract

Expert knowledge is crucial for improving the strength of computer Chinese-Chess programs. Although a great deal of expert knowledge is available in text format that using natural languages, manually transforming it into computer readable forms is time consuming and difficult. Written expert annotations of Chinese-Chess games show different styles. By analyzing and collecting commonly used phrases and patterns from experts’ annotations, we introduce a novel pattern matching strategy. It automatically epitomises knowledge from a large number of annotated game records. The results of the experiments on the analysis of the middle phase of games indicate that our strategy achieves a low error rate. We hope to exploit this approach to collect automatically a great diversity of Chinese-Chess knowledge that is currently in text format.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Bo-Nian Chen
    • 1
  • Pangfang Liu
    • 1
  • Shun-Chin Hsu
    • 2
  • Tsan-sheng Hsu
    • 3
  1. 1.Department of Computer Science and Information Engineering, National Taiwan University, TaipeiTaiwan
  2. 2.Department of Information Management, Chang Jung Christian University, TainanTaiwan
  3. 3.Institute of Information Science, Academia Sinica, TaipeiTaiwan

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