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Publication Details
Enabling Experts to Build Knowledge Bases from Science Textbooks by Chaudhri, V., John, B.E., Mishra, S., Pacheco, J., Porter, B., Spaulding, A. in to appear in Proceedings of The Fourth International Conference on Knowledge Capture (K-CAP)
October 2007.
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The long-term goal of Project Halo is to build an application called Digital Aristotle that can answer questions on a wide variety of science topics and provide user- and
domain-appropriate explanations. As a near-term goal, we are focusing on enabling subject matter experts (SMEs) to construct declarative knowledge bases (KBs) from 50
pages of a science textbook in the domains of Physics,Chemistry, and Biology in a way that the system can answer questions similar to those in an Advanced Placement(AP) exam in the respective discipline. The textbook
knowledge is a mixture of textual information, mathematical equations, tables, diagrams, and domain-specific representations such as chemical reactions. In this paper,
we explore the following question: Can we build a knowledge capture system to enable SMEs to construct KBs from the knowledge found in science textbooks and use the resulting KB for deductive question answering? We answer this question in the context of a system called AURA that supports knowledge capture from science textbooks.
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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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