Identification of Technology-Relevant Entities Based on Trend Curves and Semantic Similarities
International Journal of Web & Semantic Technology (IJWesT) Vol.11, No.1/2/3, July 2020
16 Pages Posted: 14 Jul 2021
Date Written: June 25, 2021
echnological developments are not isolated and are influenced not only by similar technologies but also by many entities, which are sometimes unforeseen by the experts in the field. The authors propose a method for identifying technology-relevant entities with trend curve analysis. The method first utilizes the tangential connection between terms in the encyclopedic dataset to extract technology-related entities with varying relation distances. Changes in their term frequencies within 389 million academic articles and 60 billion web pages are then analyzed to identify technology-relevant entities, incorporating the degrees and changes in both academic interests and public recognitions.
Keywords: Technology Forecasting, Trend Curve, Big Data, Academic Articles, Web Pages
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