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

Whether the goal is to estimate the number of people that live in a congressional district, to
estimate the number of individuals that have died in an armed conflict, or to disambiguate …

The emergence of novel hardware accelerators has powered the tremendous growth of
machine learning in recent years. These accelerators deliver incomparable performance …

Entity Resolution is a core data integration task that relies on Blocking to scale to large
datasets. Schema-agnostic blocking achieves very high recall, requires no domain …

Abstract The Energy Community Platform (ECP) is a modular system conceived to promote a
conscious use of energy by the users inside local energy communities. It is composed of two …

The task of entity resolution (ER) aims to detect multiple records describing the same real-
world entity in datasets and to consolidate them into a single consistent record. ER plays a …

In this paper we present the Energy Community Data Platform (ECDP), a middleware
platform designed to support the collection and the analysis of big data about the energy …

Data volume has been one of the fast-growing assets of most real-world applications. This
increases the rate of human errors such as duplication of records, misspellings, and …

This paper studies deep and collective entity resolution (ER). As opposed to a single pass of
pairwise comparison of tuples in a single table, deep ER recursively identifies tuples that …

Web systems have become a valuable source of semi-structured and streaming data. In this
sense, Entity Resolution (ER) has become a key solution for integrating multiple data …