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Knowledge acquisition and knowledge base refinement problems in developing the KBS legal expert system

In this paper we analize the approach used to solve knowledge acquisition and knowledge base refinement problems in order to improve the performance of a legal expert system (KBS). We will support that in a wide number of questions the limitations of the rule-based approach could be ovemome if the rules of the system are built and refined by using a systematic interaction with the experts.