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A new method for automatically constructing domain-oriented term taxonomy based on weighted word co-occurrence analysis

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An Erratum to this article was published on 12 January 2016

Abstract

The automatically construction of term taxonomy can enhance our ability for expressing the science mapping. In this paper, we introduce the definition of weighted co-occurring word pair and corresponding improved method of word co-occurrence analysis. An application and evaluation of this proposed method in the library and information science is also discussed, which includes how to get the expanded effective keywords, how to calculate the weight of keywords and their relations, and how to abstract the hierarchical structures and other relations such as synonyms and etc. A visualization tool and a prototype search system are designed for browsing the term taxonomy identified. Finally, we report the experiment of evaluation and comparison. The experiment results prove that this proposed method in helping users doing semantic searches and expanding their searching results is effective and can meet the requirement of some specific domains.

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Acknowledgments

This work has been supported by Social Science Foundation of Jiangsu Province 2014SJB144 (2014), and Chinese National Natural Science Foundation 71103081 (2011).

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Authors and Affiliations

  1. College of Information Engineering, Nanjing, Jiangsu, China

    Shuqing Li

  2. Department of Library and Information Studies, Graduate School of Education, University at Buffalo, The State University of New York, Buffalo, 14260-1660, USA

    Ying Sun & Dagobert Soergel

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  1. Shuqing Li
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  2. Ying Sun
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  3. Dagobert Soergel
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Correspondence to Shuqing Li.

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Li, S., Sun, Y. & Soergel, D. A new method for automatically constructing domain-oriented term taxonomy based on weighted word co-occurrence analysis. Scientometrics 103, 1023–1042 (2015). https://doi.org/10.1007/s11192-015-1571-0

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