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We consider different methods of optimizing the classification process of terminological representation systems and evaluate their effect on three different types of test data. Though these techniques can probably be found in many existing systems, until now there has been no coherent description of these techniques and their impact on the performance of a system. One goal of this article is to make such a description available for future implementors of terminological systems. Building the optimizations that came off best into theKRIS system greatly enhanced its efficiency.