Identifying Synonymous Concepts in Preparation for Technology Mining
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Courseault Trumbach, Cherie
Journal of Information Science
2007

Abstract:

In this research, the development of a 'concept-clumping algorithm' designed to improve the clustering of technical concepts is demonstrated. The algorithm developed first identifies a list of technically relevant noun phrases from a cleaned extracted list and then applies a rule-based algorithm for identifying synonymous terms based on shared words in each term. An assessment of the algorithm found that the algorithm has an 89-91% precision rate, was successful in moving technically important terms higher in the term frequency list, and improved the technical specificity of term clusters.