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http://dx.doi.org/10.9728/dcs.2012.13.3.317

A study on Similarity analysis of National R&D Programs using R&D Project's technical classification  

Kim, Ju-Ho (한국과학기술기획평가원)
Kim, Young-Ja (한국과학기술기획평가원)
Kim, Jong-Bae (숭실대학교대학원)
Publication Information
Journal of Digital Contents Society / v.13, no.3, 2012 , pp. 317-324 More about this Journal
Abstract
Recently, coordination task of similarity between national R&D programs is emphasized on view from the R&D investment efficiency. But the previous similarity search method like text-based similarity search which using keyword of R&D projects has reached the limit due to deviation of document's quality. For the solve the limitations of text-based similarity search using the keyword extraction, in this study, utilization of R&D project's technical classification will be discussed as a new similarity search method when analyzed of similarity between national R&D programs. To this end, extracts the Science and Technology Standard Classification of R & D projects which are collected when national R&D Survey & analysis, and creates peculiar vector model of each R&D programs. Verify a reliability of this study by calculate the cosine-based and Euclidean distance-based similarity and compare with calculated the text-based similarity.
Keywords
Similarity; R&D Program; Vector Model; Euclidean; Technical classification;
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Times Cited By KSCI : 1  (Citation Analysis)
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