Performing Object Consolidation on the Semantic Web Data Graph

Performing Object Consolidation on the Semantic Web Data Graph
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DOI:
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发表时间:
2007
影响因子:
13.6
通讯作者:
A. Hogan;Andreas Harth;Stefan Decker
A. Hogan;Andreas Harth;Stefan Decker
中科院分区:
环境科学与生态学1区
文献类型:
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作者:
A. Hogan;Andreas Harth;Stefan Decker

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语义Web技术的一个重要方面是身份和唯一标识资源的问题,这对于跨源集成数据至关重要。目前,对于跨源的相同实例使用公共URI的一致性较差,因此,天真地集成的数据集可能会错过资源之间的关联。为了解决这个问题,我们提出了一种方法,用于执行大规模的对象合并合并标识符的等价实例发生在数据源,该算法是基于定义的逆功能属性的分析:属性具有唯一的值的实例。我们将我们的对象合并算法应用于一个从超过300万个Web文档中收集的超过7200万个实例的数据集,并对结果进行了评估和讨论
An important aspect of Semantic Web technologies is the issue of identity and uniquely identifying resources, which is essential for integrating data across sources. Currently, there is poor agreement on the use of common URIs for the same instances across sources and as a result a naively integrated dataset might miss associations between resources. To solve the problem, we present a method for performing large-scale object consolidation to merge identifiers of equivalent instances occurring across data sources; the algorithm is based on the analysis of defined inverse functional properties: properties which have values unique to an instance. We apply our object consolidation algorithm to a dataset of over 72M instances collected from more than 3M Web documents, and offer evaluation and discussion on the resulting