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Authoritative: http://springerlink.metapress.com/link.a...?ID=DCL6L7X4VYPDQNQD   (Publisher's PDF... likely be available here.)

Source: http://sra.itc.it/people/cova/publications.html

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Abstract

The problem of heterogeneous case representation poses a major obstacle to realising real-life multi-case-base reasoning (MCBR) systems. The knowledge overhead in developing and maintaining translation protocols between distributed case bases poses a serious challenge to CBR developers. In this paper, we situate CBR as a flexible problem-solving strategy that relies on several heterogeneous knowledge containers. We introduce a technique called language games to solve the interoperability issue. Our technique has two phases. The first is an eager learning phase where case bases communicate to build a shared indexing lexicon of similar cases in the distributed network. The second is the problem-solving phase where, using the distributed index, a case base can quickly consult external case bases if the local solution is insufficient. We provide a detailed description of our approach and demonstrate its effectiveness using an evaluation on a real data set from the tourism domain.

@inproceedings{avesani05CBR,
  author={Paolo Avesani and Conor Hayes and Marco Cova},
  title={Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning},
  year={2005},
  pages={35-49},
  booktitle={ICCBR 2005},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/avesani05CBR.html}
}