An intelligent conversational agent as the web virtual representative using semantic Bayesian networks

Kyoung Min Kim, Jin Hyuk Hong, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationPRICAI 2006
Subtitle of host publicationTrends in Artificial Intelligence - 9th Pacific Rim International Conference on Artificial Intelligence, Proceedings
PublisherSpringer Verlag
Pages807-812
Number of pages6
ISBN (Print)3540366679, 9783540366676
DOIs
Publication statusPublished - 2006
Event9th Pacific Rim International Conference on Artificial Intelligence - Guilin, China
Duration: 2006 Aug 72006 Aug 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4099 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th Pacific Rim International Conference on Artificial Intelligence
Country/TerritoryChina
CityGuilin
Period06/8/706/8/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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