Dialogue Platform for Interactive Personal Assistant Software

An interactive personal assistant software system can perform services desired by users through a natural language interface. In this paper, we propose an effective knowledge platform structure that considers expanded structural application domains of language understanding and dialogue management modules. These modules form the core technology of the interactive personal assistant software. For the proposed platform, analysis factors of user intention are systematically defined to understand language, effective dialogue management methods are included to compensate for analytic errors, and the structure of ontology knowledge is described to expand domain knowledge.