协调本体和数据网络

Ziawasch Abedjan, Johannes Lorey, Felix Naumann
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引用次数: 25

摘要

要集成来自各种异构来源的关联开放数据,必须使用定义良好的本体。然而,数据发布者对这些本体的使用通常与本体工程师所设想的预期应用程序不同。这可能导致在RDF三元组中临时使用未指定的属性作为谓词,或者可能导致不经常使用指定的属性。这些不匹配阻碍了数据Web的目标和传播,因为数据消费者在试图发现和集成特定于领域的信息时面临困难。在这项工作中,我们通过使用频率分析和规则挖掘来识别和分类常见的误用模式。在此基础上,我们引入了一种算法,为数据驱动的本体重构工作流提出建议,并在两个大规模RDF数据集上进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconciling ontologies and the web of data
To integrate Linked Open Data, which originates from various and heterogeneous sources, the use of well-defined ontologies is essential. However, oftentimes the utilization of these ontologies by data publishers differs from the intended application envisioned by ontology engineers. This may lead to unspecified properties being used ad-hoc as predicates in RDF triples or it may result in infrequent usage of specified properties. These mismatches impede the goals and propagation of the Web of Data as data consumers face difficulties when trying to discover and integrate domain-specific information. In this work, we identify and classify common misusage patterns by employing frequency analysis and rule mining. Based on this analysis, we introduce an algorithm to propose suggestions for a data-driven ontology re-engineering workflow, which we evaluate on two large-scale RDF datasets.
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