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RDF graph summarization for first-sight structure discovery
The VLDB Journal ( IF 2.8 ) Pub Date : 2020-04-30 , DOI: 10.1007/s00778-020-00611-y
François Goasdoué , Paweł Guzewicz , Ioana Manolescu

To help users get familiar with large RDF graphs, RDF summarization techniques can be used. In this work, we study quotient summaries of RDF graphs, that is: graph summaries derived from a notion of equivalence among RDF graph nodes. We make the following contributions: (i) four novel summaries which are often small and easy-to-comprehend, in the style of E–R diagrams; (ii) efficient (amortized linear-time) algorithms for computing these summaries either from scratch, or incrementally, reflecting additions to the graph; (iii) the first formal study of the interplay between RDF graph saturation in the presence of an RDFS ontology, and summarization; we provide a sufficient condition for a highly efficient shortcut method to build the quotient summary of a graph without saturating it; (iv) formal results establishing the shortcut conditions for some of our summaries and others from the literature; (v) experimental validations of our claim within a tool available online.

中文翻译:

RDF图汇总,用于一目了然的结构发现

为了帮助用户熟悉大型RDF图,可以使用RDF摘要技术。在这项工作中,我们研究RDF图的商摘要,即:从RDF图节点之间的等价概念派生的图摘要。我们做出以下贡献:(i)四个新颖的​​摘要,通常小而容易理解,以E–R图的形式出现;(ii)从头开始或以增量方式计算这些汇总的有效(摊销的线性时间)算法,以反映对图形的添加;(iii)首次正式研究存在RDFS本体时RDF图饱和度与摘要之间的相互作用;我们为高效的快捷方法提供了充足的条件,以构建图的商摘要而不会使其饱和;(iv)正式结果为我们的某些摘要和文献中的其他摘要建立了捷径条件;(v)通过在线可用工具对我们的主张进行实验性验证。
更新日期:2020-04-30
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