对基于本体的搜索中用户偏好库的算法研究

According to User's Preference Storage of Algorithm Research on Intelligent Search Based Ontology

介绍了本体的基本概念及其基本的元素。探讨了在基于本体的智能搜索中用户偏好库的作用和其类型,特别是客观世界中某一特定领域或主题的搜索中用户偏好库的研究。研究了用户偏好库中用户兴趣剖像生成的提取算法,即TF*IDF算法和TF*IWF*IWF算法和基于本体的查询扩展算法。并且讨论了各个算法之间的联系,论述了用户偏好库在基于本体的搜索系统中的独特作用。

Introduced the basic concept and the basic elements of Ontology, Discussed the user＇s preference storage＇s function and type in based on the Ontology＇s intelligent search, specially, in some particular fields or themes user＇s preference storage＇research in the objective world. Research user＇s preference＇ s information and its extraction algorithm, those are TF ＊ IDF algorithm,TF ＊ IWF ＊ IWF algorithm and inquiry expansion algorithm based on Ontology. And discussed the relations between those algorithms＇ ties, elaborated the unique funetion of user＇s preference in the search system based on Ontology.