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Publication Details

What is hard about representing biology textbook knowledge?

by Chaudhri, V. and Goldenkranz, A. and Fikes, R. and Seyed, P.

in The Sixth International Conference on Knowledge Capture

2011.

Abstract

To scale the knowledge base of a Biology textbook from 50 pages to 300 pages in the context of Project Halo, we have formulated a knowledge factory process [1]. The process involves a sentence-based encoding strategy under which a domain expert examines each sentence in the textbook [2] and represents it in a knowledge base (KB) as best as it can be represented. While encoding each sentence, at least two hard problems must be addressed: defining what it means to represent a sentence and defining the necessary ontology primitives that should be used in that representation. The purpose of this poster presentation is to explain these problems in more detail, and discuss the operational solutions that we have adopted for solving them.

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Associated Projects

AURA

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.

AIC Personnel

Name Title E-mail
Chaudhri, Vinay K Program Director
Seyed, Patrice Ph.D. Student

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