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

See all articles by Sukhwan Jung

Sukhwan Jung

University of South Alabama - Department of Computer Science

Rachana Reddy Kandadi

University of South Alabama - Department of Computer Science

Rituparna Datta

University of South Alabama - Department of Computer Science

Ryan Benton

University of South Alabama - Department of Computer Science

Aviv Segev

University of South Alabama - Department of Computer Science

Date Written: June 25, 2021

Abstract

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

Suggested Citation

Jung, Sukhwan and Kandadi, Rachana Reddy and Datta, Rituparna and Benton, Ryan and Segev, Aviv, Identification of Technology-Relevant Entities Based on Trend Curves and Semantic Similarities (June 25, 2021). International Journal of Web & Semantic Technology (IJWesT) Vol.11, No.1/2/3, July 2020, Available at SSRN: https://ssrn.com/abstract=3873849 or http://dx.doi.org/10.2139/ssrn.3873849

Sukhwan Jung (Contact Author)

University of South Alabama - Department of Computer Science ( email )

United States

Rachana Reddy Kandadi

University of South Alabama - Department of Computer Science

United States

Rituparna Datta

University of South Alabama - Department of Computer Science

United States

Ryan Benton

University of South Alabama - Department of Computer Science

United States

Aviv Segev

University of South Alabama - Department of Computer Science

United States

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