An intelligent component retrieval system using conversational CBR

One difficulty in component retrieval comes from users' incapability to well define their queries. In this paper, we propose a conversational component retrieval model (CCRM) to alleviate this difficulty. In CCRM, a knowledge-intensive conversational case-based reasoning method is adopted to infer potential knowledge from current known knowledge, calculate the context-based semantic similarities between users' queries and stored components, and prompt users the most discriminative questions to extract more information to refine their component queries interactively and incrementally.