1 code implementation • 28 Jul 2021 • Benno Kruit, Hongyu He, Jacopo Urbani
First, our pipeline applies weakly supervised classifiers to recognize the type of tables and columns, with the help of a data labeling system and an ontology specifically designed for our purpose.
1 code implementation • 28 Nov 2015 • Jacopo Urbani, Ceriel Jacobs, Markus Krötzsch
The evaluation of Datalog rules over large Knowledge Graphs (KGs) is essential for many applications.
1 code implementation • 16 Apr 2016 • Jacopo Urbani, Sourav Dutta, Sairam Gurajada, Gerhard Weikum
We propose KOGNAC, a dictionary-encoding algorithm designed to improve SPARQL querying with a judicious combination of statistical and semantic techniques.
1 code implementation • EMNLP 2021 • Song Yang, Jacopo Urbani
In the second case, we show that using the confidence scores to remove doubtful predictions allows our method to achieve human-like performance over the retained information, which is still a sizable part of the original input.
no code implementations • 9 Dec 2017 • Minh Le, Marten Postma, Jacopo Urbani
Recently, Yuan et al. (2016) have shown the effectiveness of using Long Short-Term Memory (LSTM) for performing Word Sense Disambiguation (WSD).
no code implementations • COLING 2018 • Minh Le, Marten Postma, Jacopo Urbani, Piek Vossen
LSTM-based language models have been shown effective in Word Sense Disambiguation (WSD).
no code implementations • 28 Jun 2019 • Benno Kruit, Peter Boncz, Jacopo Urbani
We propose a new end-to-end method for extending a Knowledge Graph (KG) from tables.
no code implementations • 27 Aug 2019 • Pan Hu, Jacopo Urbani, Boris Motik, Ian Horrocks
Materialisation is often used in RDF systems as a preprocessing step to derive all facts implied by given RDF triples and rules.
no code implementations • 25 Nov 2019 • David Carral, Jacopo Urbani
Therefore, one can apply existing acyclicity notions to check chase termination over an axiomatisation of an ontology and then use the original ontology for reasoning.
no code implementations • 4 Feb 2021 • Efthymia Tsamoura, David Carral, Enrico Malizia, Jacopo Urbani
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 dependencies or data cleaning.
no code implementations • 4 May 2022 • Jacopo Urbani, Markus Krötzsch, Thomas Eiter
We study reasoning with existential rules to perform query answering over streams of data.