基于维基关联数据的Web搜索主题分类研究  

RESEARCH ON WIKI ASSOCIATED DATA-BASED TOPIC CLASSIFICATION OF WEB SEARCH

作　　者：王兰成[1] 刘晓亮[1] 

机构地区：[1]南京政治学院上海校区军事信息管理系,上海200433

出　　处：《计算机应用与软件》2013年第8期197-200,共4页Computer Applications and Software

摘　　要：建立中文维基百科的文档链接和目录结构关系,基于维基关联数据实现Web搜索的主题分类。为查询词扩展语义特征获取和表达查询主题,在维基目录空间上根据目录间的语义关系计算相关度,通过加权累加各目录标签与分类间的相关度评分识别分类标签,最后得出实验结果与分析。结果表明对于提高Web信息检索质量具有重要意义和应用价值。We established the document links and directory structure of Chinese Wikipedia, and implemented the topic classification of Web search based on Wiki associated data. For acquiring and expressing query topics, we expanded the semantic features of the query word. In the space of Wiki directory, we calculated the correlation according to the semantic relationships of the directories. Through weighting we accumulate the marks of＇ correlation between the tag of each direction and the classification to recognise the classification tags, and at last the conclusion of experimental results is derived and analysed. The conclusion is of great significance and applied value for improving the Web information retrieval quality

关 键 词：WEB搜索 维基 主题分类 数据关联 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]