activity
20132019
most citedCombining Rewriting and Incremental Materialisation Maintenance for Datalog Programs with Equality

6 citations · 11 across the 4 of their papers we have counts for

collaborators
Showing cs.DBShow all

5 papers · 1 filter

cs.DB2019

Datalog Reasoning over Compressed RDF Knowledge Bases

Pan Hu, Jacopo Urbani, Boris Motik +1

Materialisation is often used in RDF systems as a preprocessing step to derive all facts implied by given RDF triples and rules. Although widely used, materialisation considers all…

cs.DB2019

Datalog Materialisation in Distributed RDF Stores with Dynamic Data Exchange

Temitope Ajileye, Boris Motik, Ian Horrocks

Several centralised RDF systems support datalog reasoning by precomputing and storing all logically implied triples using the wellknown seminaive algorithm. Large RDF datasets ofte…

cs.DB2018

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

Giorgio Stefanoni, Boris Motik, Egor V. Kostylev

Estimating the cardinality (i.e., the number of answers) of conjunctive queries is particularly difficult in RDF systems: queries over RDF data are navigational and thus tend to in…

cs.DB20172 cited

Optimised Maintenance of Datalog Materialisations

Pan Hu, Boris Motik, Ian Horrocks

To efficiently answer queries, datalog systems often materialise all consequences of a datalog program, so the materialisation must be updated whenever the input facts change. Seve…

cs.DB20156 cited

Combining Rewriting and Incremental Materialisation Maintenance for Datalog Programs with Equality

Boris Motik, Yavor Nenov, Robert Piro +1

Materialisation precomputes all consequences of a set of facts and a datalog program so that queries can be evaluated directly (i.e., independently from the program). Rewriting opt…