使用KD2R发现RDF/OWL数据集中的键

Danai Symeonidou, N. Pernelle, Fatiha Saïs
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引用次数: 0

摘要

KD2R允许自动发现符合给定本体的RDF数据源中的组合键约束。我们考虑满足唯一名称假设的数据源。KD2R允许这种发现,而无需扫描所有数据。实际上,所提出的系统寻找最大的非键,并从这组非键中获得最小的键。KD2R在数据网络上的几个可用数据集上进行了测试,当使用发现的键来链接数据时,它获得了令人满意的结果。在演示中,我们将演示工具的功能,并在几个数据集上展示可以在数据链接工具中使用的键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovering keys in RDF/OWL dataset with KD2R
KD2R allows the automatic discovery of composite key constraints in RDF data sources that conform to a given ontology. We consider data sources for which the Unique Name Assumption is fulfilled. KD2R allows this discovery without having to scan all the data. Indeed, the proposed system looks for maximal non keys and derives minimal keys from this set of non keys. KD2R has been tested on several datasets available on the web of data and it has obtained promising results when the discovered keys are used to link data. In the demo, we will demonstrate the functionality of our tool and we will show on several datasets that the keys can be used in a datalinking tool.
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