东南大学学报（英文版）2007，Vol.23Issue(3)：389-393,5.
基于隐马尔可夫模型的本体映射
Ontology mapping based on hidden Markov model
摘要
Abstract
The existing ontology mapping methods mainly consider the structure of the ontology and the mapping precision is lower to some extent.According to statistical theory,a method which is based on the hidden Markov model is presented to establish ontology mapping.This method considers concepts as models, and attributes,relations,hierarchies,siblings and rules of the concepts as the states of the HMM,respectively.The models corresponding to the concepts are built by virtue of learning many training instances.On the basis of the best state sequence that is decided by the Viterbi algorithm and corresponding to the instance,mapping between the concepts can be established by maximum likelihood estimation.Experimental results show that this method can improve the precision of heterogeneous ontology mapping effectively.关键词
本体异构/本体映射/隐马尔可夫模型/语义webKey words
ontology heterogeneity/ontology mapping/hidden Markov model/semantic web分类
信息技术与安全科学引用本文复制引用
尹康银,宋自林,徐平..基于隐马尔可夫模型的本体映射[J].东南大学学报（英文版）,2007,23(3):389-393,5.基金项目
The Weaponry Equipment Foundation of PLA Equipment Ministry (No.51406020105JB8103). （No.51406020105JB8103）
