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

Author

Listed:
  • Shuqing Li

    (College of Information Engineering)

  • Ying Sun

    (University at Buffalo, The State University of New York)

  • Dagobert Soergel

    (University at Buffalo, The State University of New York)

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.

Suggested Citation

  • Shuqing Li & Ying Sun & Dagobert Soergel, 2015. "A new method for automatically constructing domain-oriented term taxonomy based on weighted word co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(3), pages 1023-1042, June.
    • Handle: RePEc:spr:scient:v:103:y:2015:i:3:d:10.1007_s11192-015-1571-0
    DOI: 10.1007/s11192-015-1571-0
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    References listed on IDEAS

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    1. Sheng, Long & Li, Chunguang, 2009. "English and Chinese languages as weighted complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(12), pages 2561-2570.
    2. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    3. E. M. Murgado-Armenteros & M. Gutiérrez-Salcedo & F. J. Torres-Ruiz & M. J. Cobo, 2015. "Analysing the conceptual evolution of qualitative marketing research through science mapping analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 519-557, January.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    5. Helen J. Peat & Peter Willett, 1991. "The limitations of term co‐occurrence data for query expansion in document retrieval systems," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 42(5), pages 378-383, June.
    6. Lauren B. Doyle, 1962. "Indexing and abstracting by association," American Documentation, Wiley Blackwell, vol. 13(4), pages 378-390, October.
    7. M.J. Cobo & A.G. López-Herrera & E. Herrera-Viedma & F. Herrera, 2012. "SciMAT: A new science mapping analysis software tool," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(8), pages 1609-1630, August.
    8. Leo Egghe & Loet Leydesdorff, 2009. "The relation between Pearson's correlation coefficient r and Salton's cosine measure," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 1027-1036, May.
    9. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
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    2. Abolghasem Arabiun & Niloofar Salajegheh & Zeynab Aeeni & Armin Khaleghi Forghani, 2023. "Trends and patterns in entrepreneurial action research: a bibliometric overview and research agenda," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 13(1), pages 1-17, December.
    3. Xicheng Yin & Hongwei Wang & Pei Yin & Hengmin Zhu & Zhenyu Zhang, 2020. "A co-occurrence based approach of automatic keyword expansion using mass diffusion," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1885-1905, September.

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