Open AccessAn Evaluation Model for Authors’ Academic Influence Based on Multi-source Heterogeneous Database in Bilingual Environment
Author(s) -
Zuhu Deng,
Zhenhua Zhang,
Xiong Chun,
Mingqin Chen,
Yanting Huang,
Junran Li,
Jiaxu Shen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1575/1/012147
Subject(s) - computer science , internationalization , scale (ratio) , information retrieval , data science , artificial intelligence , physics , quantum mechanics , economics , microeconomics
As the internationalization of academic rise up, it is insufficient to evaluate a scholar’s influence only taking domestic academic contribution as reference. To have a better understanding of scholars’ academic contribution in an international scale, this paper proposes a new evaluation system of academic influence based on the optimal dataset of entity recognition in bilingual environment. The new evaluation system has been experimented on a real literature dataset of DBLP. The research is conducted by the following steps. First, handle bilingual data. Second, optimize the literature data with entity recognition technology. Third, make an academic influence evaluation. Experiment results show that the new evaluation system is feasible and reasonable.