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

Recommender Systems (RS) are established to deal with the preferences of users to
enhance their experience and interest in innumerable online applications by streamlining …

Human trafficking is a widespread and compound social, economic, and human rights issue
occurring in every region of the world. While there have been an increasing number of anti …

In recent years, data lakes emerged as a way to manage large amounts of heterogeneous
data for modern data analytics. One way to prevent data lakes from turning into inoperable …

Human trafficking is a complex transnational problem for society and the global economy.
While researchers have studied this topic in a variety of contexts, including the criminology …

Abstract Information sources such as relational databases, spreadsheets, XML, JSON, and
Web APIs contain a tremendous amount of structured data that can be leveraged to build …

RDF knowledge graphs (KG) are powerful data structures to represent factual statements
created from heterogeneous data sources. KG creation is laborious and demands data …

Human trafficking is one of the most atrocious crimes and among the challenging problems
facing law enforcement which demands attention of global magnitude. In this study, we …

A significant part of the current research in the field of Artificial Intelligence is devoted to
knowledge bases. New techniques and methodologies are emerging every day for the …

This chapter discusses the abstract concepts necessary to realise a Web of Data. We
discuss how the content on the Web can be represented as graph-structured data in order to …