A Text-based Similarity Measure for Scientific Literature


The KIPS Transactions:PartD, Vol. 18, No. 5, pp. 317-322, Oct. 2011
10.3745/KIPSTD.2011.18.5.317,   PDF Download:

Abstract

This paper addresses computing of similarity among papers using text-based measures. First, we analyze the accuracy of the similarities computed using different parts of a paper, and propose a method of Keyword-Extension, which is very useful when text information is incomplete. Via a series of experiments, we verify the effectiveness of Keyword-Extension


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Cite this article
[IEEE Style]
S. H. Yoon and S. W. Kim, "A Text-based Similarity Measure for Scientific Literature," The KIPS Transactions:PartD, vol. 18, no. 5, pp. 317-322, 2011. DOI: 10.3745/KIPSTD.2011.18.5.317.

[ACM Style]
Seok Ho Yoon and Sang Wook Kim. 2011. A Text-based Similarity Measure for Scientific Literature. The KIPS Transactions:PartD, 18, 5, (2011), 317-322. DOI: 10.3745/KIPSTD.2011.18.5.317.