Artificial Intelligence (AI) is making a profound impact in almost every domain. A vital enabler
of its great success is the availability of abundant and high-quality data for building machine …

Open data aims to unlock the innovation potential of businesses, governments, and
entrepreneurs, yet it also harbours significant challenges for its effective use. While …

Open data plays a major role in supporting both governmental and organizational
transparency. Many organizations are adopting Open Data Principles promising to make …

Social data analytics have become a vital asset for organizations and governments. For
example, over the last few years, governments started to extract knowledge and derive …

This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …

Abstract Table Representation Learning (TRL) models are commonly pre-trained on large
open-domain datasets comprising millions of tables and then used to address downstream …

We outline a call to action for promoting empiricism in data quality research. The action
points result from an analysis of the landscape of data quality research. The landscape …

Business Processes, ie, a set of coordinated tasks and activities to achieve a business goal,
and their continuous improvements are key to the operation of any organization. In banking …

We introduce the problem of Table Reclamation. Given a Source Table and a large table
repository, reclamation finds a set of tables that, when integrated, reproduce the source table …

Digital repositories rely on technical metadata to manage their objects. The output of
characterization tools is aggregated and analyzed through content profiling. The accuracy …