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Publication Details
Using a Semantic Wiki as a Knowledge Source for Question Answering
by Vinay K. Chaudhri, Mark Greaves, Daniel Hansch, Anthony Jameson, Frederik Pfisterer
AAAI Spring Symposium, 2008.
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The traditional focus of knowledge engineering has been
to acquire knowledge that can be used in deductive
inference. Acquiring such knowledge invariably requires
users to undergo extensive training. There are, however,
aspects of the knowledge necessary for deductive
inference that require much less training and
sophistication. For example, capturing knowledge
involving ground facts and concept taxonomies requires
much less training and sophistication than acquiring
knowledge about deductive rules. On the basis of this
observation and the recent successes of knowledge
capture on the web, we are exploring the following
hypothesis at the intersection between knowledge
engineering and the semantic web: Can we use a semantic
wiki to acquire symbolic knowledge on the web that can
then be used in the context of a deductive question
answering system? We are conducting this work in the
context of Project Halo and the AURA system with the
goal of answering Advanced Placement (AP) questions in
physics, chemistry, and biology.
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Automated User-Centered Reasoning and Acquisition System
The goal of this project is to build a generic knowledge acquisition capability for Physics, Chemistry, and Biology. Using the system, the scientists will be able to formulate their knowledge in the three science domains, and the high school students will be able to pose Advanced-Placement style questions and get user appropriate explanations.
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