Improving similarity measures of relatedness proximity: Toward augmented concept maps

Elan Sasson, Gilad Ravid and Nava Pliskin

Journal of Informetrics, 2015, vol. 9, issue 3, 618-628

Abstract: Decision makers relying on web search engines in concept mapping for decision support are confronted with limitations inherent in similarity measures of relatedness proximity between concept pairs. To cope with this challenge, this paper presents research model for augmenting concept maps on the basis of a novel method of co-word analysis that utilizes webometrics web counts for improving similarity measures. Technology assessment serves as a use case to demonstrate and validate our approach for a spectrum of information technologies. Results show that the yielded technology assessments are highly correlated with subjective expert assessments (n=136; r>0.879), suggesting that it is safe to generalize the research model to other applications. The contribution of this work is emphasized by the current growing attention to big data.

Keywords: Augmented concept map; Relatedness proximity; Co-word analysis; Webometrics; Technology assessment (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:9:y:2015:i:3:p:618-628

DOI: 10.1016/j.joi.2015.06.003

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