基于节点语义相似度的本体映射方法  

Ontology Mapping Method Based on Node Semantic Similarity

作　　者：何杰 王佳蓉 王恒恒 HE Jie;WANG Jiarong;WANG Hengheng(School of Geography and Planning,Ningxia University,Yinchuan 750021,China)

机构地区：[1]宁夏大学地理科学与规划学院,银川750021

出　　处：《吉林大学学报（理学版）》2024年第2期399-409,共11页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金(批准号:42061062);宁夏自然科学基金(批准号:2022AAC03054)。

摘　　要：针对本体映射特别是大尺度的异构本体映射由于语义异质性导致的映射精度和效率较低的问题,提出一种基于节点语义相似度的本体映射方法.首先,研究基于网络的本体解析和表示、本体自动分块、相似子本体快速识别、基于节点语义的子本体映射等关键技术;其次,以本体对齐评估倡议评估数据集中会议本体集进行实验,结果表明,该方法在性能上优于传统映射方法,在精度上高于基于片段的映射方法.Aiming at the problem of low mapping accuracy and efficiency caused by semantic heterogeneity in ontology mapping,especially in large-scale heterogeneous ontology mapping,we proposed an ontology mapping method based on node semantic similarity(NSS).Firstly,we studied key technologies such as web-based ontology parsing and representation,automatic ontology partitioning,rapid recognition of similar sub ontologies,and node semantic based sub ontology mapping.Secondly,the experiments were conducted on the conference ontology set in the ontology alignment evaluation initiative(OAEI)evaluation datasets.The results show that the proposed method outperforms traditional mapping methods in performance and has higher accuracy than fragment based mapping methods.

关 键 词：语义相似度 本体映射 本体分块 本体对齐估计倡议 精度 效率 

分 类 号：TP208[自动化与计算机技术—检测技术与自动化装置]