Analysis of deviations in an agent and ontology-based dialogue management system

Algorithms of detecting dialogue deviations from a dialogue topic in an agent and ontology-based dialogue management system (AODMS) are proposed. In AODMS, agents and ontologies are introduced to represent domain knowledge. And general algorithms that model dialogue phenomena in different domains can be realized in that complex relationships between knowledge in different domains can be described by ontologies. An evaluation of the dialogue management system with deviation-judging algorithms on 736 utterances shows that the AODMS is able to talk about the given topic consistently and answer 86.6% of the utterances, while only 72.1% of the utterances can be responded correctly without deviation-judging module.