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Estimating the cardinality (i.e., the number of answers) of conjunctivequeries is particularly difficult in RDF systems: queries over RDF data arenavigational and thus tend to involve many joins. We present a new, principledcardinality estimation technique based on graph summarisation. We interpret asummary of an RDF graph using a possible world semantics and formalise theestimation problem as computing the expected cardinality over all RDF graphsrepresented by the summary, and we present a closed-form formula for computingthe expectation of arbitrary queries. We also discuss approaches to RDF graphsummarisation. Finally, we show empirically that our cardinality technique ismore accurate and more consistent, often by orders of magnitude, than the stateof the art.

Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation