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These are exciting times in the fields of Fuzzy Logic and the Semantic Web andthis book will add to the excitement as it is the first volume to focus on thegrowing connections between these two fields. This book is expected to be avaluable aid to anyone considering the application of Fuzzy Logic to theSemantic Web because it contains a number of detailed accounts of thesecombined fields written by leading authors in several countries. The FuzzyLogic field has been maturing for forty years. These years have witnessed atremendous growth in the number and variety of applications with a realworldimpact across a wide variety of domains with humanlike behavior and reasoning.And we believe that in the coming years the Semantic Web will be major fieldof applications of Fuzzy Logic.This book the first in the new series Capturing Intelligence shows thepositive role Fuzzy Logic and more generally Soft Computing can play in thedevelopment of the Semantic Web filling a gap and facing a new challenge. Itcovers concepts tools techniques and applications exhibiting the usefulnessand the necessity for using Fuzzy Logic in the Semantic Web. It finally opensthe road to new systems with a high Web IQ.Most of todays Web content is suitable for human consumption. The Semantic Webis presented as an extension of the current web in which information is givenwelldefined meaning better enabling computers and people to work incooperation. For example within the Semantic Web computers will understandthe meaning of semantic data on a web page by following links to specifiedontologies. But while the Semantic Web vision and research attracts attentionas longas it will be used twovaluedbased logical methods no progress will beexpected in handling illstructured uncertain or imprecise informationencountered in real world knowledge. Fuzzy Logic and associated concepts andtechniques more generally Soft Computing has certa «
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