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2011 IEEE Fifth International Conference on Semantic Computing
Link Discovery: A Comprehensive Analysis
Palo Alto, California USA
September 18-September 21
ISBN: 978-0-7695-4492-2
We present a comprehensive analysis of link discovery approaches. We classify them with regard to the type of knowledge being used, and identify three commonly used sources of knowledge: The text of a document, the document title, and already existing links. We analyze the influence of the knowledge source as well as of the amount of training data used. Results show that the link-based approach performs best if the amount of training data is huge. In a more realistic setting with fewer training data, the text-based approach yields better results.
Index Terms:
Link Discovery, Wikis, Wikipedia, Natural Language Processing
Citation:
Nicolai Erbs, Torsten Zesch, Iryna Gurevych, "Link Discovery: A Comprehensive Analysis," icsc, pp.83-86, 2011 IEEE Fifth International Conference on Semantic Computing, 2011
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