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《Computer Engineering and Applications》 2010-01
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Ontology block matching based on mixed clustering

XU De-zhi,YANG Guan-jun,CHEN Jian-er School of Information Science and Engineering,Central South University,Changsha 410083,China  
The research on ontology matching between two larger-scale ontologies is still a very challenging work.At present,a solution of block partition is the most popular way to solve the problem,however,the existing algorithm of block partition needs to appoint a fixed number of blocks.To solve this problem,a new block partition algorithm Based on Mixed Clustering (BMC) is proposed.The algorithm firstly uses the semantic diffuse method to obtain node's semantic message,and then uses the mixed clustering arithmetic to automatic partition.At last,mappings are discovered in blocks.The results of experiments are shown that BMC can acquire good matching results.
【Fund】: 国家自然科学基金No.60433020;; 湖南省自然科学基金No.06JJ50142;; 湖南省国土资源厅科技计划项目(No.200718)~~
【CateGory Index】: TP391.41
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