Entity resolution identifies semantically equivalent entities, eg describing the same product
or customer. It is especially challenging for Big Data applications where large volumes of …

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 …

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 …

Analyzing data and making the right decisions have become crucial objectives in various
domains. Record linkage is one of the most important processes for guaranteeing good data …

Entity Resolution and Data Fusion are fundamental tasks in a Data Integration process.
Unfortunately, these tasks cannot be completely addressed by purely automated methods …

Entity Resolution (ER) is the task of finding records that refer to the same real-world entity,
which are called matches. ER is a fundamental pre-processing step when dealing with dirty …

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

Clustering method is a technique used for comparisons reduction between the candidates
records in the duplicate detection process. The process of clustering records is affected by …

Entity Resolution (ER) is the process of identifying records that refer to the same real-world
entity. It plays a key role in many applications as data warehouse, data integration, and …

Entity Resolution (ER) is a multi-task process that aims to detect different records in dirty
datasets that refer to the same real-world entity. It is a building block for any data integration …