Data stored in information systems are often erroneous. Duplicate data are one of the typical
error type. To discover and handle duplicates, the so-called deduplication methods are …

Entity resolution is a widely studied problem with several proposals to match records across
relations. Matching textual content is a widespread task in many applications, such as …

In business applications, data integration is typically implemented as a data warehouse
architecture. In this architecture, heterogeneous and distributed data sources are accessed …

Deep Learning (DL) techniques now constitute the state-of-the-art for important problems in
areas such as text and image processing, and there have been impactful results that deploy …

This work presents an open-source Python library, named pyJedAI, which provides
functionalities supporting the creation of algorithms related to product entity resolution …

Deep clustering (DC), a fusion of deep representation learning and clustering, has recently
demonstrated positive results in data science, particularly text processing and computer …

Data stored in information systems are often erroneous. Duplicate data are one of the typical
error type. To discover and handle duplicates, the so-called deduplication methods are …