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Coloring RDF Triples to Capture Provenance

机译:着色RDF三穴以捕获出处

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Recently, the W3C Linking Open Data effort has boosted the publication and inter-linkage of large amounts of RDF datasets on the Semantic Web. Various ontologies and knowledge bases with millions of RDF triples from Wikipedia and other sources, mostly in e-science, have been created and are publicly available. Recording provenance information of RDF triples aggregated from different heterogeneous sources is crucial in order to effectively support trust mechanisms, digital rights and privacy policies. Managing provenance becomes even more important when we consider not only explicitly stated but also implicit triples (through RDFS inference rules) in conjunction with declarative languages for querying and updating RDF graphs. In this paper we rely on colored RDF triples represented as quadruples to capture and manipulate explicit provenance information.
机译:最近,W3C链接开放数据工作已经提升了语义网络上大量RDF数据集的发布和连键。已经创建了各种来自维基百科和其他来源的数百万RDF三倍的各种本体和知识库,主要是在e-Science中进行的,并公开提供。从不同异构来源聚合的RDF三维的录制出处信息是至关重要的,以有效地支持信任机制,数字权利和隐私政策。当我们考虑不仅明确说明但也与用于查询和更新RDF图形的声明性语言结合说明语言时,我们认为,当我们认为不仅明确说明而且隐含的三元组(通过RDFS推断规则)变得更加重要。在本文中,我们依靠彩色的RDF三元组,表示为二次以捕获和操纵显式的源信息。

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