Impact of Semantic Web on the Development of Spoken Dialogue Systems

Abstract

We examined several possible uses of semantic Web technologies in developing spoken dialogue systems. We report that three advanced features of the semantic Web, namely, collective intelligence, smooth integration of knowledge, and automatic inference, have a large impact on various stages in the development of spoken dialogue systems, such as language modeling, semantic analysis, dialogue management, sentence generation, and user modeling. As an example, we implemented a query generation method for semantic search based on semantic Web technology.