Publication Details

Preliminary Steps towards a Knowledge Factory Process

by Chaudhri, V. and Dinesh, N. and Pacheco, J. and Ng, G. and Clark, P. and Goldenkranz, A. and Seyed, P. and Sharma N.

in The Sixth International Conference on Knowledge Capture

Abstract

In the fall 2010 issue of the AI Magazine, we reported the design, implementation and evaluation of a knowledge acquisition system called AURA. AURA enables domain experts in Physics, Chem-istry and Biology to author their knowledge, and a different set of experts to pose questions against that knowledge. The evaluation results previously reported were from 50 pages each from science textbooks in Physics, Chemistry and Biology. The results were most promising for Biology. Based on those results we undertook a content building effort to capture knowledge from approxi-mately 315 pages (or 20 chapters) of the same Biology textbook [2] and incorporated the resulting content in the electronic version of that book. In this demo/poster session, we will demonstrate the biology knowledge base (KB) created using AURA, the electronic textbook application Inquire, and discuss the knowledge engineer-ing process we used to construct the KB.

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Associated Projects

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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