9 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue
Efthymia Tsamoura, Jaehun Lee, Jacopo Urbani
The role of uncertainty in data management has become more prominent than ever before, especially because of the growing importance of machine learning-driven applications that pro…
Materializing Knowledge Bases via Trigger Graphs
Efthymia Tsamoura, David Carral, Enrico Malizia +1
The chase is a well-established family of algorithms used to materialize Knowledge Bases (KBs), like Knowledge Graphs (KGs), to tackle important tasks like query answering under de…
Adaptive Low-level Storage of Very Large Knowledge Graphs
Jacopo Urbani, Ceriel Jacobs
The increasing availability and usage of Knowledge Graphs (KGs) on the Web calls for scalable and general-purpose solutions to store this type of data structures. We propose Triden…
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…