These are exciting times in the field of Fuzzy Logic and the Semantic Web, and this book will add to the excitement, because the first volume to focus on the growing connection between the two fields. The book is expected to be a valuable aid to anyone considering the application of Fuzzy Logic for the Semantic Web, because it contains a number of detailed accounts of these combined, written by leading authors in several countries. And we believe that in the coming years, Semantic Web will become the main field of application of Fuzzy Logic. This book, the first in a series of new Capturing Intelligence, showed the positive role Fuzzy Logic, and more generally Soft Computing, can play in the development of Semantic Web, filling a gap and facing new challenges. It covers concepts, tools, techniques and applications demonstrate usefulness, and need, to use the Fuzzy Logic in the Semantic Web. For example, in the Semantic Web, computers will understand the meaning of semantic data on web pages by following a link to a specific ontology. Fuzzy Logic and related concepts and techniques (more generally, Soft Computing), has been clearly positive role to play in the development of Semantic Web. Fuzzy Logic will not supposed to be the basis for the Semantic Web but related concepts and techniques that will reinforce the classical system is developed within W3C. In fact, fuzzy logic can not be ignored in order to bridge the gap between human-understandable logic software and hardware logic machine-readable. To support this argument, this book shows how the Semantic Web components (such as XML, RDF, Description Logics, Conceptual Graphs, ontology) can be closed, with in each case the focus of Fuzzy Logic. Main features. - First volume to focus on the growing connections between Fuzzy Logic and the Semantic Web. - Semantic Web is expected to be a major field of application of Fuzzy Logic. - Semantic Web is expected to be a major field of application of Fuzzy Logic.