Instance matching based on discriminative property values

Wafa Ghemmaz, Fouzia Benchikha
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引用次数: 2

Abstract

Ontologies in large scale contain a huge number of instances. Linking instances from different data sources that denote the same real-world object present a challenge for Linked Data. For ontological data integration and sharing, especially with rapid development of linked data, automatically instance matching has been become the fundamental issue. In this paper, we propose a new instance matching approach. The proposed method is based on the discriminative property values. Only the similar instances which have similar discriminative property values are selected to compare their descriptive property values. Two types of link will be established between similar instances SameAs and the proposed novel link ViewSameAs. This link is established between instances which have similar discriminative property values and dissimilar descriptive property values. It aims to save the initial result of our matching process.
基于区别属性值的实例匹配
大规模的本体包含大量的实例。链接来自不同数据源的表示相同现实世界对象的实例对关联数据提出了挑战。对于本体数据的集成和共享,特别是随着关联数据的快速发展,实例自动匹配已成为基本问题。本文提出了一种新的实例匹配方法。所提出的方法是基于鉴别属性值的。只选择具有相似判别属性值的相似实例来比较它们的描述性属性值。在类似的实例samea和提出的新链路viewsamea之间将建立两种类型的链接。这种联系是在具有相似判别属性值和不同描述属性值的实例之间建立的。它的目的是保存我们匹配过程的初始结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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