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现代图书情报技术  2011, Vol. 27 Issue (12): 1-8     https://doi.org/10.11925/infotech.1003-3513.2011.12.01
  数字图书馆 本期目录 | 过刊浏览 | 高级检索 |
基于Linked Data的RDF关联框架综析
陶俊1,2, 孙坦1
1. 中国科学院国家科学图书馆 北京 100190;
2. 中国科学院研究生院 北京 100049
Analysis of Framework for RDF Linkage Based on Linked Data
Tao Jun1,2, Sun Tan1
1. National Science Library, Chinese Academy of Sciences, Beijng 100190, China;
2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China
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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、LIMES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。
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孙坦
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关键词 关联数据关联算法关联框架发展趋势语义网    
Abstract:RDF linkage should be 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.
Key wordsLinked data    Linkage algorithm    Linkage framework    Development trend    Semantic Web
收稿日期: 2011-10-31      出版日期: 2012-02-02
: 

TP393

 
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, 27(12): 1-8.
Tao Jun, Sun Tan. Analysis of Framework for RDF Linkage Based on Linked Data. New Technology of Library and Information Service, 2011, 27(12): 1-8.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2011.12.01      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2011/V27/I12/1
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