activity
20132020
most citedEstimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation

43 citations · 89 across the 4 of their papers we have counts for

collaborators

6 papers

cs.IR2020

Identifying Notable News Stories

Antonia Saravanou, Giorgio Stefanoni, Edgar Meij

The volume of news content has increased significantly in recent years and systems to process and deliver this information in an automated fashion at scale are becoming increasingl…

cs.IR2018★ 18 cited

Weakly-supervised Contextualization of Knowledge Graph Facts

Nikos Voskarides, Edgar Meij, Ridho Reinanda +5

Knowledge graphs (KGs) model facts about the world, they consist of nodes (entities such as companies and people) that are connected by edges (relations such as founderOf). Facts e…

cs.DB2018★ 43 cited

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.AI2014★ 4 cited

Answering Conjunctive Queries over Knowledge Bases with Transitive and Reflexive Roles

Giorgio Stefanoni, Boris Motik

Answering conjunctive queries (CQs) over knowledge bases (KBs) with complex role inclusions is PSPACE-hard and in PSPACE in certain cases; however, if complex role i…

cs.AI2014★ 24 cited

Reasoning about Explanations for Negative Query Answers in DL-Lite

Diego Calvanese, Magdalena Ortiz, Mantas Simkus +1

In order to meet usability requirements, most logic-based applications provide explanation facilities for reasoning services. This holds also for Description Logics, where research…

cs.AI2013

Introducing Nominals to the Combined Query Answering Approaches for EL

Giorgio Stefanoni, Boris Motik, Ian Horrocks

So-called combined approaches answer a conjunctive query over a description logic ontology in three steps: first, they materialise certain consequences of the ontology and the data…