Knowledge-Based Dialogue Management
نویسنده
چکیده
This paper reports about our research to design and implement a spoken language dialogue system (SLDS) that can be conngured easily and rapidly to diierent applications. In contrast to nite-state models for information dialogues, we outline a different knowledge-based approach capable to handle dialogues of greater complexity than those following a nite-state argumentation structure. We show how knowledge about the application domain, the dialogue participants, syntax and semantics can be represented in a uniied framework based on Description Logics (DL) as modelling formalism. On the basis of the knowledge in the domain model, inferences are performed employing a partial rst order logic for the interpretation of user utterances and the planning of system responses.
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