基于实例相似度的本体映射方法研究

Research on Ontology Mapping Based on Instance Similarity

提出利用贝叶斯理论计算实例相似度,定义集合相似度和概率相似度两个概念,推导出计算模型,得到一个完整的解决实例映射方案。用实例相似来优化映射,该方案的查全率和查准率比传统方法有所提高。

This paper proposes the similarity calculation based on Bayesian theory,two concepts of the set similarity and the probability similarity,derives the calculation model and gets a complete solution to an instance of mapping programs.Experiments show that the proposed program recall and precision is better than traditional methods have improved.