Gathering knowledge for a question answering system from heterogeneous information sources

Authors:
Boris Katz;Jimmy Lin;Sue Felshin
Affiliations:
MIT Artificial Intelligence Laboratory, Technology Square, Cambridge, MA;MIT Artificial Intelligence Laboratory, Technology Square, Cambridge, MA;MIT Artificial Intelligence Laboratory, Technology Square, Cambridge, MA
Venue:
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
Year:
2001

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Abstract

Although vast amounts of information are available electronically today, no effective information access mechanism exists to provide humans with convenient information access. A general, open-domain question answering system is a solution to this problem. We propose an architecture for a collaborative question answering system that contains four primary components: an annotations system for storing knowledge, a ternary expression representation of language, a transformational rule system for handling some complexities of language, and a collaborative mechanism by which ordinary users can contribute new knowledge by teaching the system new information. We have developed a initial prototype, called Webnotator, with which to test these ideas.