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 …

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 …

Entity Resolution identifies entity profiles that represent the same real-world object. A brute-
force approach that considers all pairs of entities suffers from quadratic time complexity. To …

Millions of websites use the schema. org vocabulary to annotate structured data describing
products, local businesses, or events within their HTML pages. Integrating schema. org data …

Data lakes are typically lightly curated and as such prone to data quality problems and
inconsistencies. In particular, duplicate tables are common in most repositories. The goal of …

In entity resolution, blocking pre-partitions data for further processing by more expensive
methods. Two entity mentions are in the same block if they share identical or related …

Data lakes are typically lightly curated and as such prone to data quality problems and
inconsistencies. In particular, duplicate tables are common in most repositories. The goal of …

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 …

Big data integration represents one of the main challenges for the use of techniques and
tools based on Artificial Intelligence (AI) in several crucial areas: eHealth, energy …

Companies and organizations depend heavily on their data to make informed business
decisions. Therefore, guaranteeing high data quality is critical to ensure the reliability of data …