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ABSTRACT

We describe an architecture for building speech-enabled conversational agents, deployed as self-contained Web services, with ability to provide inference processing on very large knowledge bases and its application to voice enabled chatbots in a virtual storytelling environment. The architecture integrates inference engines, natural language pattern matching components and story-specific information extraction from RDF/XML files. Our Web interface is dynamically generated by server side agents supporting multi-modal interface components (speech and animation). Prolog refactorings of the WordNet lexical knowledge base, FrameNet and the Open Mind common sense knowledge repository are combined with internet meta-search to provide high-quality knowledge sources to our conversational agents. An example of conversational agent with speech capabilities is deployed on the Web at http://logic.csci.unt.edu:8080/wordnet_agent/frame.html. The agent is also accessible for live multi-user text-based chat, through a Yahoo Instant Messenger protocol adaptor, from wired or wireless devices, as the jinni_agent Yahoo IM "handle".

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INDEX TERMS

Keywords:
FrameNet and Open Mind-based knowledge processing, WordNet, agent architectures, agentbased Web services, conversational agents, logic programming, natural language and speech processing, virtual storytelling