摘要
提出一种基于局部统计和语义扩展相结合,面向主题的关键词查询扩展方法。该方法通过对给定主题的初始关键词搜索反馈网页进行分析,采用TF*PSF语义加权方法计算主题候选词的权重来进一步筛选主题关键词。在此基础上,设计了面向Web的主题关键词迭代查询扩展算法,采用主题关键词的组合查询策略,迭代扩展出主题的关键词集合。实验证明该方法是有效的。
In this paper we propose a novel topic-oriented Keyword query expansion approach,which is based on the combination of local statistics and semantic expansion.It searches those feedback pages for analysis through initial keyword of the given topics,and then calculates the weight of candidate Key words of the topic using the TF*PSF semantic weighting algorithm for further sieving those topic Key words.Based on that,a Web-oriented topic keyword iterative query expansion algorithm is designed,which gradually iterates and expands the keyword set by adopting keyword combination strategy.Experiments prove that this method is effective.
出处
《计算机应用与软件》
CSCD
2011年第12期29-31,67,共4页
Computer Applications and Software
基金
国家自然科学基金(90920004
60970056
60873150)
江苏省自然科学基金(BK2008160)
江苏省高校自然科学重大基础研究项目(08KJA520002)
关键词
信息检索
查询扩展
信息融合
关键词扩展
Information retrieval Query expansion Information fusion Keyword expansion