In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

Smart cities have emerged as a result of smart interconnections of people, processes, data,
and things, representing an excellent case study of the Internet of Everything (IoE) paradigm …

Abstract Knowledge graphs, representation of information as a semantic graph, have
caused wide concern in both industrial and academic world. Their property of providing …

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 …

Abstract Linked Open Data has been recognized as a valuable source for background
information in data mining. However, most data mining tools require features in propositional …

Abstract Data Mining and Knowledge Discovery in Databases (KDD) is a research field
concerned with deriving higher-level insights from data. The tasks performed in that field are …

Abstract Billions of Linked Data triples exist in thousands of RDF knowledge graphs on the
Web, but few of those graphs can be queried live from Web applications. Only a limited …

One of the major barriers to the deployment of Linked Data is the difficulty that data
publishers have in determining which vocabularies to use to describe the semantics of data …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …