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Publication in BibTeX Format

@INPROCEEDINGS{AICPub1830:2011, AUTHOR={Chaudhri, V. and Dinesh, N. and Pacheco, J. and Ng, G. and Clark, P. and Goldenkranz, A. and Seyed, P. and Sharma N.}, TITLE={Preliminary Steps towards a Knowledge Factory Process }, BOOKTITLE={The Sixth International Conference on Knowledge Capture}, YEAR={2011}, 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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