基于语义网的高效信息查询方法efficientinformation-中文信息学报.pdfVIP

基于语义网的高效信息查询方法 1* 2,3 夏美翠 时鸿涛 (1. 青岛农业大学 档案馆，青岛 266109 ；2. 青岛农业大学 网络管理中心，青岛 266109; 3. 中国海洋大学 信息科学与工程学院，青岛 266100) (* 通信作者电子邮箱qiaonan@qau.edu.cn) 摘要：为了提高 Web 信息检索的准确率，提出一种基于语义网的高效信息查询方法。首先从本体库中提取目标资源与查询关键 字之间的语义路径，通过分析语义路径所包含的属性的权重和识别能力，分别计算每个语义路径的权重；然后，根据资源与查询关键 字之间的语义路径的权重、数量和特异性，分别计算每个资源与各关键字之间的语义相关性，并结合关键字的涵盖范围和识别能力综 合计算每个资源与关键字集之间的语义相关性；最后，以该相关性为依据对所有资源进行排序和输出。实验结果表明，与 OntoLook 、 tf*idf 和 TMSubtree 三种语义网查询算法相比，基于语义网的高效信息查询方法的正确率、召回率和 F 测度值分别提升了 38.3%、43.2% 和 40.4% 。证明该方法不仅能够有效提升语义查询的准确率，而且对隐性信息也有很好的查询效果。 关键字：语义网；本体；语义关系路径；权重计算；特异性 中图法分类号: TP391.3 检索系统 文献标志码: A Efficient Information Search Method Based on Semantic Web XIA Meicui1*, SHI Hongtao2,3 (1. Archives, Qingdao Agricultural University, Qingdao Shandong 266109, china ；2. Network Center, Qingdao Agricultural University, Qingdao Shandong 266109, china; 3. School of Information Science and Engineering, Ocean University of China Qingdao Shandong 266100, china) Abstract: In order to improve the accuracy of Web information retrieval, an efficient information search method based on Semantic Web was proposed. Firstly, all semantic paths between the target resources and the query keywords were extracted from the ontology library, and the weight of each semantic path was calculated by analyzing the weight and identification power of attributes included in it. Then, based on the weights, number and specification of the semantic paths between resources and query keywords, the semantic correlation between each resource and each keyword was calculated, and combining with the coverage and identification power of each keyword, the semantic correlation between each resource and the keyword set was calculated.