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Probabilistic Datalog (PDatalog, proposed in 1995) is a probabilistic variant of Datalog and a nice conceptual idea to model Information Retrieval in a logical, rule-based programming paradigm. Making PDatalog work in real-world applications requires more than probabilistic facts and rules, and the semantics associated with the evaluation of the programs. We report in this paper some of the key features of the HySpirit system required to scale the execution of PDatalog programs. Firstly, theredoi:10.1007/s13222-015-0208-z pmid:29368760 pmcid:PMC5750817 fatcat:kdieshgrbfhypiqqfvu2s7nnhm