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A framework to represent and mine knowledge evolution from Wikipedia revisions

Published: 16 April 2012 Publication History

Abstract

State-of-the-art knowledge representation in semantic web employs a triple format (subject-relation-object). The limitation is that it can only represent static information, but cannot easily encode revisions of semantic web and knowledge evolution. In reality, knowledge does not stay still but evolves over time. In this paper, we first introduce the concept of "quintuple representation" by adding two new fields, state and time, where state has two values, either in or out, to denote that the referred knowledge takes effective or becomes expired at the given time. We then discuss a two-step statistical framework to mine knowledge evolution into the proposed quintuple representation. Utilizing extracted quintuple properly, it not only can reveal knowledge changing history but also detect expired information. We evaluate the proposed framework on Wikipedia revisions, as well as, common web pages currently not in semantic web format.

References

[1]
O. Etzioni, M. Banko, S. Soderland, and D. S. Weld. Open information extraction from the web. Commun. ACM, 51:68--74, December 2008.
[2]
X. Shi, W. Fan, and P. S. Yu. Efficient semi-supervised spectral co-clustering with constraints. IEEE International Conference on Data Mining, 0:1043--1048, 2010.

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  • (2015)The implications of Wikipedia for contemporary science educationProceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/2808580.2808641(403-410)Online publication date: 7-Oct-2015

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  1. A framework to represent and mine knowledge evolution from Wikipedia revisions

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    cover image ACM Other conferences
    WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web
    April 2012
    1250 pages
    ISBN:9781450312301
    DOI:10.1145/2187980

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    • Univ. de Lyon: Universite de Lyon

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 April 2012

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    Author Tags

    1. expired data detection
    2. knowledge evolution extraction
    3. wikipedia revision

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    WWW 2012
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    • Univ. de Lyon
    WWW 2012: 21st World Wide Web Conference 2012
    April 16 - 20, 2012
    Lyon, France

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    Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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    • (2015)The implications of Wikipedia for contemporary science educationProceedings of the 3rd International Conference on Technological Ecosystems for Enhancing Multiculturality10.1145/2808580.2808641(403-410)Online publication date: 7-Oct-2015

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