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Discovering Domain Vocabularies Based on Citation Co-word Network |
Qikai Cheng,Jiamin Wang(),Wei Lu |
(School of Information Management, Wuhan University, Wuhan 430072, China);(Information Retrieval and Knowledge Mining Laboratory, Wuhan University, Wuhan 430072, China) |
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Abstract [Objective] This paper identifies basic vocabularies of a specific domain from academic papers, aiming to grasp the knowledge structure and development context. [Methods] We combined the citation network and the co-word analysis to construct a citation co-word network. Then, we used the PageRank algorithm to evaluate the importance of the candidate words. We examined the proposed method with 110,360 articles in computer science. [Results] Our new method was compared with the word frequency method and co-word analysis qualitatively and quantitatively. We found that the proposed method performed well, and the average precision of a blind selection experiment reached 72.6%. [Limitations] The proposed method was only examined with computer science articles. [Conclusions] The new strategies could improve the performance of basic vocabulary discovery in one specific domain.
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Received: 19 October 2018
Published: 15 August 2019
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