This book provides a comprehensive overview of core concepts and
technological foundations for continuous engineering of Web streams. It
presents various systems and applications and includes real-world
examples. Last not least, it introduces the readers to RSP4J, a novel
open-source project that aims to gather community efforts in software
engineering and empirical research.
The book starts with an introductory chapter that positions the work by
explaining what motivates the design of specific techniques for
processing data streams using Web technologies. Chapter 2 briefly
summarizes the necessary background concepts and models needed to
understand the remaining content of the book. Subsequently, chapter 3
focuses on processing RDF streams, taming data velocity in an open
environment characterized by high data variety. It introduces query
answering algorithms with RSP-QL and analytics functions over streaming
data. Chapter 4 presents the life cycle of streaming linked data, it
focuses on publishing streams on the Web as a prerequisite aspect to
make data findable and accessible for applications. Chapter 5 touches on
the problems of benchmarks and systems that analyze Web streams to
foster technological progress. It surveys existing benchmarks and
introduces guidelines that may support new practitioners in approaching
the issue of continuous analytics. Finally, chapter 6 presents a list of
examples and exercises that will help the reader to approach the area,
get used to its practices and become confident in its technological
possibilities.
Overall, this book is mainly written for graduate students and
researchers in Web and stream data management. It collects research
results and will guide the next generation of researchers and
practitioners.
