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

基于Linked Data的RDF关联框架综析
引用本文:陶俊,孙坦.基于Linked Data的RDF关联框架综析[J].现代图书情报技术,2011(12):1-8.
作者姓名:陶俊  孙坦
作者单位:中国科学院国家科学图书馆;中国科学院研究生院
摘    要:关联数据研究由关联发布逐渐走向集成应用,为此需要解决RDF链接的关联问题分析支持向量机方法、后向关联方法、模式映射方法和R2R属性转换方法等RDF关联原理,在此基础上从系统框架、支撑语言和关键算法的视角分析Silk、LIMFS和R2R三种关联框架最后从算法、框架和应用的角度分析RDF关联研究的未来发展动向

关 键 词:关联数据  关联算法  关联框架  发展趋势  语义网

Analysis of Framework for RDF Linkage Based on Linked Data
Tao Jun,Sun Tan.Analysis of Framework for RDF Linkage Based on Linked Data[J].New Technology of Library and Information Service,2011(12):1-8.
Authors:Tao Jun  Sun Tan
Institution:1(National Science Library,Chinese Academy of Sciences,Beijng 100190,China) 2(Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:RDF linkage should he solved with the development of linked data from publishing toward gradually integration application.This paper analyses approaches for RDF linkage algorithm such as support vector machine,backlink based on HTTP referer,schema mapping and R2R property transformation.In addition,linkage frameworks such as Silk, LIMES and R2R are explored from the angle of system framework,language and key algorithm.Finally,future development of RDF linkage are discussed in the perspective of linkage algorithm,framework and application.
Keywords:Linked data  Linkage algorithm  Linkage framework  Development trend  Semantic Web
本文献已被 CNKI 等数据库收录!
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