| Abstract
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Techniques that traditionally have been us … Techniques that traditionally have been useful for retrievingsame-domain analogies from small single-use knowledge bases, such asspreading activation and indexing on selected features, are inadequatefor retrieving cross-domain analogies from large multi-use knowledgebases. In this paper, we describe Knowledge-Directed SpreadingActivation (KDSA), a new method for retrieving analogies in a largesemantic network. KDSA uses task-specific knowledge to guide aspreading activation search to a case or concept in memory that meetsa desired similarity condition. Specifically, KDSA exploitsevaluations of near-analogies encountered during the search to directthe search toward progressively more promising analogies. We describea specific instantiation of this method for the task of innovativedesign, and we summarize the theoretical and experimental results usedto validate KDSA. experimental results usedto validate KDSA.
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