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What is hard about representing biology textbook knowledge

Published: 26 June 2011 Publication History

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 text-book [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.

References

[1]
Chaudhri V. et. al., Preliminary Steps towards a Knowledge Factory Process. In the Proceedings of the International Knowledge Capture Conference, Banff Canada, 2011.
[2]
Reece J. B., et. al. Campbell Biology, Pearson Publishing. 2010.
[3]
Barker, et. al., A Library of Generic Concepts for Composing Knowledge Bases. Proc. of the 1st International Conference on Knowledge Capture. Victoria, Canada, 14--21.

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  1. What is hard about representing biology textbook knowledge

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    cover image ACM Conferences
    K-CAP '11: Proceedings of the sixth international conference on Knowledge capture
    June 2011
    212 pages
    ISBN:9781450303965
    DOI:10.1145/1999676

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 June 2011

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    Author Tags

    1. deductive question answering
    2. knowledge acquisition
    3. knowledge engineering
    4. ontologies

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    • Demonstration

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    K-CAP '2011
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    K-CAP '2011: Knowledge Capture Conference
    June 26 - 29, 2011
    Alberta, Banff, Canada

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