%0 Journal Article %A SHI Hongtao %A XIA Meicui %T Efficient information search method based on semantic Web %D 2015 %R 10.11772/j.issn.1001-9081.2015.10.2915 %J Journal of Computer Applications %P 2915-2919 %V 35 %N 10 %X 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, the number and the specificity of the semantic paths between resources and query keywords, as well as the semantic correlation between each resource and each keyword were calculated;and combining with the coverage and identification power of each keyword, the semantic correlation between each resource and the keyword set was calculated. Finally, on the basis of the correlation, all the resources were sorted and output. The experimental results show that compared with three different semantic Web search algorithms, including OntoLook, tf*idf and TMSubtree, the proposed method improved the average precision of 69.0, 25.0, 21.0 percentage points, respectively;average recall of 77.1, 28.3, 24.3 percentage points, respectively;and average F-measure of 72.4, 26.4, 22.4 percentage points, respectively. These results prove the proposed method can not only effectively improve the accuracy of semantic search, but also have good query results for indirect information. %U http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2015.10.2915