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ICCBR
2005
Springer

Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning

14 years 4 months ago
Language Games: Solving the Vocabulary Problem in Multi-Case-Base Reasoning
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 problemsolving 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.
Paolo Avesani, Conor Hayes, Marco Cova
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICCBR
Authors Paolo Avesani, Conor Hayes, Marco Cova
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