Integrating Language Understanding Agents Into the Semantic Web
by Akshay Java
Wednesday, October 26, 2005, 10:30am
ITE 325
Many intelligent agents need knowledge and information to support
their reasoning and problem solving. The World Wide Web is a vast,
open, accessible and free source of knowledge, but virtually all of it
is encoded as natural language text -- a form difficult for most
agents to directly understand. We describe initial work on adapting a
mature language understanding agent to process Web text and publish
its output in the Semantic Web language OWL. This approach adds
knowledge on the Web in a form designed for agents to use. Moreover,
language understanding agents can use the growing knowledge on the
Semantic Web in their own language understanding tasks. Importing and
exporting knowledge in the different knowledge representation
formalisms used by these agents poses significant challenges. In
particular we need to bridge the gap between the representation
features of traditional non web-based representations and newer
web-based formalisms such as OWL.