首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于复杂网络的本体结构分析
引用本文:张大陆,王志晓,刘雯,杨哲.基于复杂网络的本体结构分析[J].同济大学学报(自然科学版),2009,37(2).
作者姓名:张大陆  王志晓  刘雯  杨哲
作者单位:1. 同济大学,计算机科学与工程系,上海,201804
2. 同济大学,计算机科学与工程系,上海,201804;中国矿业大学,计算机学院,江苏,徐州,221116
摘    要:将本体的结构特点与网络类比,本体中的概念与网络中的点对应,本体中的关系与网络中的边对应,借助现有的针对复杂网络的分析方法和性能指标,对本体的度分布、平均最短路径、聚集系数进行统计分析,考察本体结构特性.选取基因本体(GO)作为研究样本,分析结果表明,GO没有很高的聚类特性,具有小世界特性,不具有无尺度性质.该研究有助于评估本体中的概念,设置其权重,提高语义匹配的效率.

关 键 词:复杂网络  本体  聚集系数  小世界  无尺度

Complex Network based Ontology Structure Analysis
ZHANG Dalu,WANG Zhixiao,LIU Wen and YANG Zhe.Complex Network based Ontology Structure Analysis[J].Journal of Tongji University(Natural Science),2009,37(2).
Authors:ZHANG Dalu  WANG Zhixiao  LIU Wen and YANG Zhe
Institution:Department of Computer Science and Engineering,Tongji University,Shanghai 201804,China;Department of Computer Science and Engineering,Tongji University,Shanghai 201804,China;College of Computer Science and Technology,China University of Mining and Technology,Xuzhou 221116,China;Department of Computer Science and Engineering,Tongji University,Shanghai 201804,China;Department of Computer Science and Engineering,Tongji University,Shanghai 201804,China
Abstract:Concepts and relations between concepts in ontology can be considered as the vertex and edges in network due to their similarity in structure.As a result,the analyzing method and metrics for complex network may also be used to define the complexity of ontology.In the study the degree distribution,clustering coefficient and average distance of GO ontology are measured to analyze its complexity.The result shows that the GO ontology has small world property but does not have scale free property.There is no clustering characteristic in GO ontology.The study can be used to evaluate importance of ontology concepts and to improve the efficiency of semantic matching.
Keywords:
本文献已被 维普 万方数据 等数据库收录!
点击此处可从《同济大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《同济大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号