A Bayesian network approach to searching Web databases through keyword-based queries
Information Processing and Management: an International Journal - Special issue: Bayesian networks and information retrieval
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In this paper, we propose semantic Bayesian networks that infer the user's intention based on Bayesian networks and their semantic information. Since conversation often contains ambiguous expressions, managing the context or the uncertainty is necessary to support flexible conversational agents. The proposed method drives the mixed-initiative interaction (MII) that prompts for missing concepts and clarifies for spurious concepts to understand the user's intention correctly. We have applied it to an information retrieval service for Web sites so as to verify the usefulness.