The development and standardization of Semantic Web technologies has resulted in an
unprecedented volume of data being published on the Web as Linked Data (LD). However …

Knowledge graphs have, for the past decade, been a hot topic both in public and private
domains, typically used for large-scale integration and analysis of data using graph-based …

In the recent years, different Web knowledge graphs, both free and commercial, have been
created. While Google coined the term “Knowledge Graph” in 2012, there are also a few …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Linked Open Data (LOD) comprises an unprecedented volume of structured data on the
Web. However, these datasets are of varying quality ranging from extensively curated …

A knowledge graph (KG), a special form of semantic network, integrates fragmentary data
into a graph to support knowledge processing and reasoning. KG quality control is important …

Abstract With Linked Data, a very pragmatic approach towards achieving the vision of the
Semantic Web has gained some traction in the last years. The term Linked Data refers to a …

A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

In this paper we look into the use of crowdsourcing as a means to handle Linked Data
quality problems that are challenging to be solved automatically. We analyzed the most …