多相关主题的主题文本资源相关度算法研究  

Research on Relatedness Algorithm between Topics and Resources of Multiple Topics

作　　者：裘江南[1] 王带弟[1] 仲秋雁[1] 

机构地区：[1]大连理工大学管理学院

出　　处：《中国图书馆学报》2009年第4期106-112,共7页Journal of Library Science in China

基　　金：国家社会科学基金项目"主题图的语义相关度评价方法研究"(批准号:07CTQ006)成果之一

摘　　要：主题图作为一种新型的信息资源整合工具,在数字资源整合领域有着广泛的应用前景。主题图中资源与主题间的相关度在一定程度上反映了资源与用户查询需求间的相关程度。基于此,本文提出了一种主题文本资源间相关度算法,主要从资源本身及用户动态使用行为两方面深入分析。相关算例试验结果表明,该算法相对稳定,整体上对文本资源排序的效果较好。图5。表2。参考文献11。ABSTRACT As a new tool of information resource integration, topic map is very promising in the field of integrating digital resources. To some extent, the relevance between topics and resources reflects the relatedness between resources and users＇ inquires. This paper proposes a kind of relatedness algorithm, which analyzes the resources from the own contents and users＇ dynastic behaviors. By some related tests, it indicates that this algorithm is relatively stable and can make the resources in good order. 5 figs. 2 tabs. 11 refs.

关 键 词：主题图 主题文本资源 相关度算法 数字资源整合 

分 类 号：G202[文化科学—传播学]