基于连接边权值的RDF数据语义相似度算法
首发时间:2018-03-14
摘要:随着互联网技术的飞速发展,网络中的数据资源迅猛增长,这就为高效地共享网络中的资源提出了新的要求,语义网技术应运而生。语义网中的数据多采用资源描述框架(RDF,Resource Description Framework)的格式发布。本文分析了现有的RDF数据的语义相似度算法,综合考虑了RDF三元组的结构特性的和RDF图中节点的语义信息对相似度的影响,分别采用连接边权值和领域本体模型内最近公共祖先节点的概念,来表征RDF数据中的结构特性和语义信息对相似度值的影响,提出了一种基于连接边权值的RDF数据语义相似度算法,并通过仿真证明了改进算法能够有效地提高RDF数据间的语义相似度计算结果的精确性。
关键词: 计算机应用技术 语义网 语义相似度 RDF数据 连接边权值
For information in English, please click here
A Semantic Similarity Algorithm for RDF Data Based on Connected-edge Weights
Abstract:With the rapid development of Internet technology, the data resources in the network are increasing in full speed, which puts forward new requirements for the efficient sharing of resources in the network. Thus the semantic web technology was born. The data in the semantic web is mostly published in the format of RDF (Resource Description Framework). This thesis analyzes the related algorithms of RDF data semantic similarity calculation, and considers the influences of the structure characteristic of the RDF triples and the semantic information of the nodes in the RDF graph on similarity. The influence can be represented respectively by the connected-edge weights and the nearest common ancestor node in the domain ontology model. The simulation results show that the new algorithms can effectively improve the accuracy of the results of the semantic similarity calculation.
Keywords: computer application technology circuits and systems semantic web semantic similarity RDF data connected-edge weights
基金:
引用
No.****
同行评议
共计0人参与
勘误表
基于连接边权值的RDF数据语义相似度算法
评论
全部评论0/1000