A Cosine Theorem based Algorithm for Similarity Aggregation of Ontologies
Ontology matching is a basic method for resolving ontology heterogeneity. In order to achieve the finest matching result th rough aggregation, a couple of measuring methods are often applied to the process of ontology matching and then the results of all methods produced are aggregated. This paper proposes a new method in aggregating the similarity through analysis of existing methods. Our proposal considers two similarities to be aggregated as two vectors with a specific angje and their values as the modulus of the vectors. The result of aggregation equals to the modulus of the vector determined by the subtraction of the two previous vectors. The process of calculation is involved in the application of cosine theorem and therefore that is the reason why this method is caIJed a Cosine Theorem Based Algorithm (CTBA) for similarities aggregation of ontologies in this paper. The results of experiments and analysis conducted with the known data suggest that CTBA presented in this paper bas a comparatively good performance in aggregating similarities of ontologies.
Ontology Ontology matching Similarity Aggregation CTBA
Xiangkun Tian Yi Guo
Department of Computer Science and Engineering East China University of Science and Technology Shanghai China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
856-859
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）