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DOI:
Journal of Software:2006.17(10):2096-2105

基于最长顺序频繁词组的Web文献检索结构
王大玲,于戈,鲍玉斌
(东北大学,信息科学与工程学院,辽宁,沈阳,110004)
A Web Bibliographies Retrieval Structure Based on the Longest Sequential Frequent Phrases
WANG Da-Ling,YU Ge,BAO Yu-Bin
()
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Received:May 05, 2005    Revised:December 13, 2005
> 中文摘要: 目前,大多数Web文献不能满足不同层次科研人员的查询要求.分析了这一问题产生的原因,提出建立辅助的Web文献检索结构以帮助用户更准确地获取所需文献的思想.基于该思想,设计了通过挖掘最长顺序频繁词组抽取文献特征的算法,提出了能够表现特征之间、文献之间、特征与文献之间关系的扩展的特征层次树结构及其构建方法.实验表明,挖掘最长顺序频繁词组在抽取文献特征方面比常用的TFIDF具有更大的优势.理论分析说明,扩展的特征层次树具有压缩的存储结构、词组与文献关系的表现方式和更好的辅助检索功能.
Abstract:Most Web bibliographies cannot meet the retrieval requirements of the researchers with different academic levels. The reason resulting in the problem is analyzed, and the idea of constructing an auxiliary Web bibliography retrieval structure for the users to obtain more proper bibliographies is proposed. Based on the idea, an algorithm of mining the longest sequential frequent phrases for extracting features of the bibliographies is designed, and an extended feature hierarchical tree describing the relationship among the features, among the bibliographies, and among the features, the bibliographies and its construction is presented. The experiments show that the new method outperforms the current popular TFIDF method in extraction features. The theoretical analysis explains that the extended feature hierarchical tree has constringent structure, reveals the relationship between phrases and bibliographies, and provides better assistant retrievals.
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基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60573090,60473073,60503036(国家自然科学基金);the Foundation for University Key Teacher by the Ministry of Education of China(国家教育部高等学校骨干教师资助计划) Supported by the National Natural Science Foundation of China under Grant Nos.60573090,60473073,60503036(国家自然科学基金);the Foundation for University Key Teacher by the Ministry of Education of China(国家教育部高等学校骨干教师资助计划)
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王大玲,于戈,鲍玉斌.基于最长顺序频繁词组的Web文献检索结构.软件学报,2006,17(10):2096-2105

WANG Da-Ling,YU Ge,BAO Yu-Bin.A Web Bibliographies Retrieval Structure Based on the Longest Sequential Frequent Phrases.Journal of Software,2006,17(10):2096-2105