activity
20162022
most citedTab2Know: Building a Knowledge Base from Tables in Scientific Papers

9 citations · 17 across the 6 of their papers we have counts for

collaborators

11 papers

cs.AI2022

Chasing Streams with Existential Rules

Jacopo Urbani, Markus Krötzsch, Thomas Eiter

We study reasoning with existential rules to perform query answering over streams of data. On static databases, this problem has been widely studied, but its extension to rapidly c…

cs.CL2021

Tribrid: Stance Classification with Neural Inconsistency Detection

Song Yang, Jacopo Urbani

We study the problem of performing automatic stance classification on social media with neural architectures such as BERT. Although these architectures deliver impressive results,…

cs.AI20219 cited

Tab2Know: Building a Knowledge Base from Tables in Scientific Papers

Benno Kruit, Hongyu He, Jacopo Urbani

Tables in scientific papers contain a wealth of valuable knowledge for the scientific enterprise. To help the many of us who frequently consult this type of knowledge, we present T…

cs.DB2021

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…

cs.DB2020

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…

cs.LO20191 cited

Checking Chase Termination over Ontologies of Existential Rules with Equality

David Carral, Jacopo Urbani

The chase is a sound and complete algorithm for conjunctive query answering over ontologies of existential rules with equality. To enable its effective use, we can apply acyclicity…