A unified approach to matching semantic data on the Web
A unified approach to matching semantic data on the Web
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DOI：
10.1016/j.knosys.2012.10.015
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发表时间：
2013-02
期刊：
影响因子：
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通讯作者：
Zhichun Wang;Juan-Zi Li;Yue Zhao;R. Setchi;Jie Tang
中科院分区：
文献类型：
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作者：
Zhichun Wang;Juan-Zi Li;Yue Zhao;R. Setchi;Jie Tang
近年来，Web已经从一个链接文档的全球信息空间发展成为一个数据也链接的空间。链接开放数据（LOD）项目使得大量语义数据集能够在Web上发布。由于Web的开放性和分布式特性，发布数据集的模式（本体类和属性）和实例可能存在异构性问题。在这种情况下，来自不同数据集的实体的匹配对于整合来自不同数据源的信息非常重要。近年来，为了解决语义数据库中的模式异构问题，本体匹配研究取得了很大的进展。然而，没有统一的框架来匹配模式实体和实例。本文提出了一种统一的匹配方法来寻找等价实体的本体和LOD数据集在Web上。该方法首先结合多种词汇匹配策略，使用一种新的投票为基础的聚合方法，然后它利用结构信息和已经发现的对应关系，发现额外的。我们使用OAEI和LOD的数据集评估了我们的方法。结果表明，基于投票的聚集方法提供了高度准确的匹配结果，结构传播过程有效地提高了结果的召回率。
In recent years, the Web has evolved from a global information space of linked documents to a space where data are linked as well. The Linking Open Data (LOD) project has enabled a large number of semantic datasets to be published on the Web. Due to the open and distributed nature of the Web, both the schema (ontology classes and properties) and instances of the published datasets may have heterogeneity problems. In this context, the matching of entities from different datasets is important for the integration of information from different data sources. Recently, much work has been conducted on ontology matching to resolve the schema heterogeneity problem in the semantic datasets. However, there is no unified framework for matching both schema entities and instances. This paper presents a unified matching approach to finding equivalent entities in ontologies and LOD datasets on the Web. The approach first combines multiple lexical matching strategies using a novel voting-based aggregation method; then it utilizes the structural information and the already found correspondences to discover additional ones. We evaluated our approach using datasets from both OAEI and LOD. The results show that the voting-based aggregation method provides highly accurate matching results, and that the structural propagation procedure effectively improves the recall of the results.