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Using natural language to represent knowledge in an intelligent tutoring system

Published:01 September 2009Publication History

ABSTRACT

Developing intelligent tutoring systems (ITS) for a target domain includes authoring tasks requiring long time and efforts. Letting authors use natural language to represent various kinds of knowledge is a way that any authors can add and update knowledge easily. An authoring system acquiring knowledge represented in natural language for an equation-based tutor (Pyrenees) is presented in this paper. This authoring system was designed to acquire not only problem statements, but also commonsense and domain knowledge in natural language from authors.

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      • Published in

        cover image ACM Conferences
        K-CAP '09: Proceedings of the fifth international conference on Knowledge capture
        September 2009
        222 pages
        ISBN:9781605586588
        DOI:10.1145/1597735
        • General Chair:
        • Yolanda Gil,
        • Program Chair:
        • Natasha Noy

        Copyright © 2009 Copyright is held by the author/owner(s)

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 September 2009

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        Overall Acceptance Rate55of198submissions,28%
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