Over the past few years, adding artificial intelligence to the World Wide Web (WWW) has been a widely discussed topic. The semantic Web is an up-and-coming area of research in the area of Web intelligence. This book’s 17 chapters (in four parts) cover selected topics in Web intelligence and the semantic Web. The first part deals with some fundamental information on the semantic Web and Web Intelligence, the second part deals with the collaboration of these aspects, the third part focuses on using the semantic Web and its related technologies to store knowledge, and the last part provides information on existing applications and case studies.

The book starts with an explanation of the resource description framework (RDF). It provides readers with the theoretical aspects of the RDF using mathematical notations. In fact, throughout the book, mathematical notations are used to describe a concept or methodology. Readers who have some inclination toward mathematics should enjoy this. Another aspect of the book’s writing style will also be very conducive to learning: the book sometimes uses scenarios and real-life applications to explain a particular technology.

The use of agent technologies to extract the right data is explained in some detail. The combination of agent technologies and Web services can be very useful for building intelligent agents on the semantic Web; the book provides some details on this. The book also explains the interesting idea of building a semantic Web using grid computing. As previously mentioned, the book ends with a good explanation of building applications using the existing semantic Web technologies. Also, it explains in some detail strategies for building and testing Web-based systems.

Overall, this very good book provides good insight into Web intelligence. The authors explain the topics using examples, notations, and applications. The book can be used as a reference for courses related to Web intelligence and emerging Web technologies.