一种新的自动本体映射算法(英文)

New automated ontology mapping algorithm

提出了一种自动完成本体映射的算法．该算法通过计算本体概念之间元素层与结构层上的相似性来完成相似度的计算．在元素层上，该算法引进了WordNet，通过将WordNet中对应的概念转换为向量，计算向量间夹角的余弦得到元素层概念的相似度．在结构层上，该算法通过加权函数和sigmoid函数，基于元素层的计算结果，将元素层的相似度和结构层的相似度结合起来，完成本体之间相似度的计算，最终完成映射．实验结果表明，该算法的匹配准确率可以达到63％～70％，可以有效地完成本体之间的映射．

A new algorithm for automated ontology mapping based on linguistic similarity and structure similarity is presented. First, the concept of WordNet is turned into a vector, then the similarity of two entities is calculated according to the cosine of the angle between the corresponding vectors. Secondly, based on the linguistic similarity, a weighted function and a sigmoid function can be used to combine the linguistic similarity and structure similarity to compute the similarity of an ontology. Experimental results show that the matching ratio can reach 63% to 70% and it can effectively accomplish the mapping between ontologies.