Ontology block matching based on mixed clustering
Jianer Chen · Computer Engineering and Applications Journal · 2010
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.