多角度主题结构获取研究  

Research on Multi-perspectives Topic Constrcuting

作　　者：吴清强[1,2,3] 张晓林[2,3] 

机构地区：[1]中国科学技术信息研究所,北京100038 [2]厦门大学软件学院,厦门361005 [3]中国科学院文献情报中心,北京100094

出　　处：《情报学报》2011年第7期682-694,共13页Journal of the China Society for Scientific and Technical Information

摘　　要：在多角度主题结构获取方法研究中，首先通过实验方法验证变异分析方法和共词分析方法所获得的主题结构具有较大的差异性，二者均是现有主题结构的一个侧面反映。根据变异分析和共词分析的特点，论文尝试通过关系融合、过程融合以及结果融合三种不同的融合方式来进行多角度主题结构获取，在关系融合分析方法中，尝试了线性函数、Max函数和共变异三种不同的函数关系。对所有融合分析方法的结果通过主题类层面、词间关系层面以及主题类类内关系层面来验证该方法是否适合多角度主题结构获取并通过对比方法研究不同适合主题结构获取方法之间的等价性问题。最后给出本文研究的不足和后续研究的目标。In this article, the authors conduct the research on the multi-perspectives access to topic structure. Firstly, an experiment is used to discover that there are some obvious differences between the two topic structures generated by the variant analysis and the co-word analysis, and both of which are a reflection of the existing topic structure. According to the characteristics of variant analysis and co-word analysis, this dissertation adopts the relationship integration, the process integration and the result integration to obtain the topic structure in multi-perspectives. In the relationship integration, three different functions including the linear function, the Max function and the co-variant are adopted. The tests have been carried out in terms of the topic class levels, the relationship of words and the relationship in the topic class to verify their adaptation to the topic structure in multi-perspectives.

关 键 词：主题结构 多角度主题结构获取共词分析 变异分析 

分 类 号：G250.73[文化科学—图书馆学]