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Nowadays, more and more RDF data is becoming available on the Semantic Web.While the Semantic Web is generally incomplete by nature, on certain topics, italready contains complete information and thus, queries may return all answersthat exist in reality. In this paper we develop a technique to check querycompleteness based on RDF data annotated with completeness information, takinginto account data-specific inferences that lead to an inference problem whichis $\Pi^P_2$-complete. We then identify a practically relevant fragment ofcompleteness information, suitable for crowdsourced, entity-centric RDF datasources such as Wikidata, for which we develop an indexing technique thatallows to scale completeness reasoning to Wikidata-scale data sources. Weverify the applicability of our framework using Wikidata and develop COOL-WD, acompleteness tool for Wikidata, used to annotate Wikidata with completenessstatements and reason about the completeness of query answers over Wikidata.The tool is available at http://cool-wd.inf.unibz.it/.

Enabling Fine-grained RDF Data Completeness Assessment