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Data Analysis and Knowledge Discovery  2017, Vol. 1 Issue (10): 21-31    DOI: 10.11925/infotech.2096-3467.2017.0491
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Summarizing Figures of Chinese Scholarly Articles of Library and Information Science
Chuhan Bao1,Danping Jia1,Lin He1,2(),Xiaowen Ma1,Yuxi Ai1
1College of Information Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
2Research Center for Correlation of Domain Knowledge, Nanjing Agricultural University, Nanjing 210095, China
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Abstract  

[Objective] This paper studies the figures of Chinese articles in the field of library and information science (LIS), aiming to establish new principles to summarize them. [Methods] We proposed the framework and rules for figure summarization based on manual indexing and features of LIS papers. Then, we evaluated the performance of the new system with the help of SPSS. [Results] Compared with the existing figure-text model, our method could more effectively process information from the figures. [Limitations] We need to extract more information from the figures, analyze the influences of different charts, and add automatic indexing functions to the new system. [Conclusions] The proposed method could effectively summarize figures from the scholarly articles.

Key wordsFigure Indexing      Abstract in Chinese      Likert Scale     
Received: 31 May 2017      Published: 08 November 2017

Cite this article:

Chuhan Bao,Danping Jia,Lin He,Xiaowen Ma,Yuxi Ai. Summarizing Figures of Chinese Scholarly Articles of Library and Information Science. Data Analysis and Knowledge Discovery, 2017, 1(10): 21-31.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.2096-3467.2017.0491     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2017/V1/I10/21

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