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Semantic Evaluation and Identification of Academic Representative Papers

In: Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)

Author

Listed:
  • Hongmei Guo

    (Institute of Scientific and Technical Information of China)

  • Xingyu Chen

    (Institute of Scientific and Technical Information of China)

  • Zheng Ma

    (Institute of Scientific and Technical Information of China)

Abstract

Academic papers are the main output and important knowledge carrier of scientific activities. They have the functions of knowledge flow, diffusion, and transfer. Academic representative paper is very significant to funding project review, talent introduction and institutional evaluation. These existing evaluation methods focus on external features or quantitative indicators based on paper citations. It is insufficient evaluation to semantic content features. In the paper, we draw on the theory of scientific values and design evaluation framework that include two dimensions, namely usage scale utility and knowledge utility of papers. Usage scale utility is reflected in the citation and download usage of the paper by peer scholars and mainly measured with quantitative indicators. The knowledge utility is reflected in the cited content role and mainly measured with semantic content analysis. We propose comprehensive evaluation method and value hierarchy system based on usage scale utility and knowledge utility dimensions. It can assist users to discover and focus on representative academic papers quickly.

Suggested Citation

  • Hongmei Guo & Xingyu Chen & Zheng Ma, 2024. "Semantic Evaluation and Identification of Academic Representative Papers," Advances in Economics, Business and Management Research, in: Chen Bai & Yue Cao & Wenqian Jin (ed.), Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023), pages 25-32, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-498-3_4
    DOI: 10.2991/978-94-6463-498-3_4
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