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RDF Link Generation by Exploring Related Links on the Web of Data

机译:通过探索数据网上的相关链接来生成RDF链接

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Interlinking RDF resources is a vital aspect of the Semantic Web technology. It is the basis of Linked Data that provides interlinked datasets on the web. One of the principles of Linked Data is interlinking resources from different data sources on the web. Data interlinking is a critical and challenging problem that every Linked Data generation applications face. Various approaches have been evolved for resolving this problem, but, for more massive datasets, it becomes almost indefinite time while linking similar or related resources. Linking RDF resources is like the problem of entity matching, record matching or duplicate resource detection. More or less they attempt to point to the same problem, but the RDF link generation is the task of finding related resources on the web. In this article, we present an approach for generating RDF links using the similarity measure between two RDF resources and by exploring associated relationships of the matched resources. The idea is to find related resources and link them with an RDF resource that is being generated.
机译:互连RDF资源是语义Web技术的重要方面。它是链接数据的基础,可在Web上提供相互链接的数据集。链接数据的原理之一是将来自网络上不同数据源的资源进行链接。数据链接是每个链接数据生成应用程序都面临的一个关键且具有挑战性的问题。已经开发出各种方法来解决此问题,但是,对于更庞大的数据集,在链接相似或相关资源时几乎是不确定的时间。链接RDF资源就像实体匹配,记录匹配或重复资源检测一样。他们或多或少试图指出相同的问题,但是RDF链接的生成是在Web上查找相关资源的任务。在本文中,我们提出一种使用两个RDF资源之间的相似性度量并探索匹配资源的关联关系来生成RDF链接的方法。这个想法是找到相关资源,并将它们与正在生成的RDF资源链接起来。

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