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

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Semantic Evaluation and Identification of Academic Representative Papers

Authors
Hongmei Guo1, *, Xingyu Chen1, Zheng Ma1
1Institute of Scientific and Technical Information of China, Beijing, China
*Corresponding author. Email: guohm@istic.ac.cn
Corresponding Author
Hongmei Guo
Available Online 22 August 2024.
DOI
10.2991/978-94-6463-498-3_4How to use a DOI?
Keywords
Academic Representative Papers; Semantic Identification; Semantic Measurement
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
22 August 2024
ISBN
978-94-6463-498-3
ISSN
2352-5428
DOI
10.2991/978-94-6463-498-3_4How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hongmei Guo
AU  - Xingyu Chen
AU  - Zheng Ma
PY  - 2024
DA  - 2024/08/22
TI  - Semantic Evaluation and Identification of Academic Representative Papers
BT  - Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)
PB  - Atlantis Press
SP  - 25
EP  - 32
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-498-3_4
DO  - 10.2991/978-94-6463-498-3_4
ID  - Guo2024
ER  -