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Methods for Intrinsic Evaluation of Links in the Web of Data

机译:数据网中链接的内部评估方法

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The current Web of Data contains a large amount of interlinked data. However, there is still a limited understanding about the quality of the links connecting entities of different and distributed data sets. Our goal is to provide a collection of indicators that help assess existing interlinking. In this paper, we present a framework for the intrinsic evaluation of RDF links, based on core principles of Web data integration and foundations of Information Retrieval. We measure the extent to which links facilitate the discovery of an extended description of entities, and the discovery of other entities in other data sets. We also measure the use of different vocabularies. We analysed links extracted from a set of data sets from the Linked Data Crawl 2014 using these measures.
机译:当前的Web数据包含大量相互链接的数据。但是,对于连接不同和分布式数据集的实体的链接的质量仍然知之甚少。我们的目标是提供一组有助于评估现有互连的指标。在本文中,我们基于Web数据集成的核心原则和信息检索的基础,提出了一种RDF链接的内在评估框架。我们测量链接在多大程度上促进了实体的扩展描述的发现以及其他数据集中其他实体的发现。我们还评估了不同词汇的使用情况。我们使用这些方法分析了从链接数据抓取2014的一组数据集中提取的链接。

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