计算机工程2017，Vol.43Issue(5)：197-203,209,8.DOI:10.3969/j.issn.1000-3428.2017.05.032
基于最大公共子图的本体映射方法研究
Research on Ontology Mapping Method Based on Maximum Common Sub-graph
摘要
Abstract
Ontology mapping is aimed to establish the semantic relationship of the elements between the two ontologies,and the key to affect the ontology mapping is the method of calculating the similarity.In order to solve the imprecise semantic relation problem of the similarity calculation method,this paper proposes an ontology mapping method,which transforms the ontology mapping problem into the problem of solving the maximum common sub-graph.Ontology with graph structure can better reflect the latent semantic relations between the structure of the body and the maximum common sub-graph is introduced to extract the common parts of the ontology.The properties of the maximum common sub-graph are used to measure the similarity between two ontology elements.Then the mapping relationship between the two ontologies is obtained.Compared with CtxMatch and COMA,the proposed method is proved to have a certain improvement in the recall rate and the precision.关键词
语义关系/相似度/最大公共子图/本体映射/图结构Key words
semantic relationship/similarity/maximum common sub-graph/ontology mapping/graph structure分类
信息技术与安全科学引用本文复制引用
郭竹为,刘胜全,刘艳,赵美玲,符贤哲..基于最大公共子图的本体映射方法研究[J].计算机工程,2017,43(5):197-203,209,8.基金项目
新疆维吾尔自治区科学基金(2014211A016). （2014211A016）
