计算机工程与应用2011，Vol.47Issue(25)：121-125,5.DOI:10.3778/j.issn.1002-8331.2011.25.031
基于语义相关度排序的政务信息资源检索算法
Government information resource retrieval algorithm based on metadata semantic relevance oriented ranking
摘要
Abstract
Government information resources retrieval is important function in directory service system.Based on the XML metadata standard stipulated in national standards of Government information resource directory system,a keywords search algorithm is proposed, which uses the XML TF*IDF ranking strategy of government information resource metadata and the keywords dependence to rank the individual matches by semantic relevance.An improved keywords inverted index is proposed to improve the query efficiency.The experimental results show that this algorithm can greatly improve the rank accuracy of search results as well as the time efficiency, which can effectively improve the data-sharing ability of government information resource.关键词
政务信息资源/元数据/关键词检索/语义相关度/可扩展标记语言(XML)Key words
government information resource/ metadata /keyword search/ semantic relevance/ Extensible Markup Language (XML)分类
信息技术与安全科学引用本文复制引用
陈旭,陈德华,乐嘉锦..基于语义相关度排序的政务信息资源检索算法[J].计算机工程与应用,2011,47(25):121-125,5.基金项目
中央高校基本科研业务费专项资金资助. （）
