activity
20192026
most citedSchema-agnostic Progressive Entity Resolution (extended version)

64 citations · 64 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DB2026

Entity Resolution via Batched Oracle Queries

Lorenzo Balzotti, Donatella Firmani, Luca Gagliardelli +1

We consider an oracle that processes a limited batch of records at a time and clusters those that refer to the same real-world entity. We study how to interrogate such an oracle to…

cs.DB2023

DXP: Billing Data Preparation for Big Data Analytics

Luca Gagliardelli, Domenico Beneventano, Marco Esposito +5

In this paper, we present the data preparation activities that we performed for the Digital Experience Platform (DXP) project, commissioned and supervised by Doxee S.p.A.. DXP mana…

cs.DB2023

Evaluation of Dataframe Libraries for Data Preparation on a Single Machine

Angelo Mozzillo, Luca Zecchini, Luca Gagliardelli +3

Data preparation is a trial-and-error process that typically involves countless iterations over the data to define the best pipeline of operators for a given task. With tabular dat…

cs.DB2022

Generalized Supervised Meta-blocking (technical report)

Luca Gagliardelli, George Papadakis, Giovanni Simonini +2

Entity Resolution constitutes a core data integration task that relies on Blocking in order to tame its quadratic time complexity. Schema-agnostic blocking achieves very high recal…

cs.DB2019★ 64 cited

Schema-agnostic Progressive Entity Resolution (extended version)

Giovanni Simonini, George Papadakis, Themis Palpanas +1

Entity Resolution (ER) is the task of finding entity profiles that correspond to the same real-world entity. Progressive ER aims to efficiently resolve large datasets when limited…