%A He Chao, Zhang Yufeng %T Research on Business Intelligence Link Analysis Algorithm Combining Semantic Similarity %0 Journal Article %D 2013 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2013.03.05 %P 27-32 %V 29 %N 3 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3704.shtml} %8 2013-03-25 %X A business intelligence link analysis algorithm based on semantic similarity is designed for the problem of link lost and semantic heterogeneity in the traditional link analysis algorithm. The algorithm exploits anchor chain text and structure synthetically to solve link lost, uses semantic knowledge presented by domain Ontology to solve semantic heterogeneity. The experiment results show that the model and the algorithm achieve a good expected effect and can raise the accuracy and efficiency of business intelligence analysis.