基于加权关键词共现时间元的个性化学术研究时序路径发现及其可视化呈现方法
The Discovery and Visualization of Timing Path about Personalized AcademicResearch Based on Weighted Co-occurred Keyword Time Gram
  
中文关键词:词语共现 时序路径 可视化 学术研究
英文关键词:word Co-occurrence, timing path, visualization, academic research
基金项目:国家自然科学基金项目《基于通用加权 XML 模型的个性化用户兴趣本体研究》(项目编号 71103081 ),江苏省高校自然科学研究面上资助项目《通用加权 XML 模型在便携式个性化用户兴趣本体中的表达方法研究》(编号:11KJB630001 )
作者单位
李树青 Department of Information Management and Information System , College of Information Engineering ,Nanjing University of Finance & Economics 
孙颖 Department of Library and Information Studies , Graduate School of Education , University at Buffalo ,New York State University 
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中文摘要:
      个性化学术研究时序路径发现方法和可视化呈现技术,可以帮助用户了解相关学术研究点的演化规律和掌握学术研究的发展趋势? 本文首先提出了加权关键词共现时间元的基本方法,并据此介绍了关键词时序路径和关键词时序网络结构的表达方法? 其次,文章在说明扩展关键词数据获取方法?关键词权值和关键词共现权值设定方法的基础上,重点介绍了个性化学术研究时序路径的发现方法? 最后,文章对以学者发文为数据集合的个性化学术研究时序路径实验,可视化界面设计和实验结果,以及用户满意度评价实验都做了必要的说明?
英文摘要:
      The discovery and visualization of timing path about personalized academic research can help users understand the evolution pattern and developing trend of corresponding academic research. This paper begins with the introduction of weighted co-occurred keyword time gram. And the definition of keyword timing path and keyword timing network is also discussed hereafter. This paper explains the discovering method of timing path about personalized academic research in detail based on the introduction about how to acquire extended keywords and set the weight of keywords and their co-occurred relationship. Finally, we report the experiments results of timing path about personalized academic research based on the dataset of author’s documents, the design of visualization interface, and evaluation of users’ satisfaction.
李树青,孙颖.基于加权关键词共现时间元的个性化学术研究时序路径发现及其可视化呈现方法[J].情报学报,2014,(1):55~67
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