کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
515257 | 866974 | 2007 | 12 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A semantic Bayesian network approach to retrieving information with intelligent conversational agents A semantic Bayesian network approach to retrieving information with intelligent conversational agents](/preview/png/515257.png)
As access to information becomes more intensive in society, a great deal of that information is becoming available through diverse channels. Accordingly, users require effective methods for accessing this information. Conversational agents can act as effective and familiar user interfaces. Although conversational agents can analyze the queries of users based on a static process, they cannot manage expressions that are more complex. In this paper, we propose a system that uses semantic Bayesian networks to infer the intentions of the user based on Bayesian networks and their semantic information. Since conversation often contains ambiguous expressions, the managing of context and uncertainty is necessary to support flexible conversational agents. The proposed method uses mixed-initiative interaction (MII) to obtain missing information and clarify spurious concepts in order to understand the intention of users correctly. We applied this to an information retrieval service for websites to verify the usefulness of the proposed method.
Journal: Information Processing & Management - Volume 43, Issue 1, January 2007, Pages 225–236