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Analysis of Hotspots in the Field of Domestic Knowledge Discovery Based on Co-word Analysis Method

In: Liss 2014

Author

Listed:
  • Xindi Wang

    (Beijing Jiaotong University)

  • Jingjing Liu

    (Beijing Jiaotong University)

  • Fushen Sheng

    (Tianjin Campus of Naval Engineering University)

Abstract

In this article, by choosing highly frequent keywords from core journals in the field of 1992–2013 knowledge discovery in CNKI database, counting the number of two frequent keywords co-occurrences in the same journal, then constructing the highly frequent keywords matrix, and transforming the highly frequent keywords matrix into the correlation matrix and the dissimilarity matrix, then we analyzed the dissimilarity matrix based on the use of factor analysis, cluster analysis. Finally, after discussing the results of the analysis, we found that the current hotspots in the field of domestic knowledge discovery have focused on following six aspects, the knowledge discovery based on data research, knowledge discovery algorithm optimization research, the model of knowledge discovery and research of literature study, knowledge management based on domain ontology, expert system construction research, and applied research of knowledge discovery.

Suggested Citation

  • Xindi Wang & Jingjing Liu & Fushen Sheng, 2015. "Analysis of Hotspots in the Field of Domestic Knowledge Discovery Based on Co-word Analysis Method," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 643-649, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_92
    DOI: 10.1007/978-3-662-43871-8_92
    as

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