A Principled Approach to Bridging the Gap between Graph Data and their Schemas

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Provided by: VLD Digital
Topic: Big Data
Format: PDF
Although RDF graph data often come with an associated schema, recent studies have proven that real RDF data rarely conform to their perceived schemas. Since a number of data management decisions, including storage layouts, indexing, and efficient query processing, use schemas to guide the decision making, it is imperative to have an accurate description of the structuredness of the data at hand (how well the data conform to the schema). In this paper, the authors have approached the study of the structuredness of an RDF graph in a principled way: they propose a framework for specifying structuredness functions, which gauge the degree to which an RDF graph conforms to a schema.
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