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Preserving Information Content in RDF Using Bounded Homomorphisms

机译:使用有界同态在RDF中保存信息内容

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The topic of study in the present paper is the class of RDF homomorphisms that substitute one predicate for another throughout a set of RDF triples, on the condition that the predicate in question is not also a subject or object. These maps turn out to be suitable for reasoning about similarities in information content between two or more RDF graphs. As such they are very useful e.g. for migrating data from one RDF vocabulary to another. In this paper we address a particular instance of this problem and try to provide an answer to the question of when we are licensed to say that data is being transformed, reused or merged in a non-distortive manner. We place this problem in the context of RDF and Linked Data, and study the problem in relation to SPARQL construct queries.
机译:本文的研究主题是在相关谓词也不是主语或宾语的条件下,在整个RDF三元组中用一个谓词替换另一个谓词的RDF同态类。事实证明,这些映射适用于推理两个或多个RDF图之间信息内容的相似性。因此,它们非常有用,例如用于将数据从一种RDF词汇迁移到另一种。在本文中,我们将解决该问题的一个特定实例,并尝试为以下问题提供一个答案:何时我们被许可说数据正在以非失真的方式进行转换,重用或合并。我们将此问题放在RDF和链接数据的上下文中,并研究与SPARQL构造查询有关的问题。

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