Managing vagueness/fuzziness is starting to play an important role
in Semantic Web research, with a large number of research efforts
underway. Foundations of Fuzzy Logic and Semantic Web Languages
provides a rigorous and succinct account of the mathematical
methods and tools used for representing and reasoning with fuzzy
information within Semantic Web languages. The book focuses on the
three main streams of Semantic Web languages: Triple languages RDF
and RDFS Conceptual languages OWL and OWL 2, and their profiles OWL
EL, OWL QL, and OWL RL Rule-based languages, such as SWRL and RIF
Written by a prominent researcher in this area, the book is the
first to combine coverage of fuzzy logic and Semantic Web
languages. The first part of the book covers all the theoretical
and logical aspects of classical (two-valued) Semantic Web
languages. The second part explains how to generalize these
languages to cope with fuzzy set theory and fuzzy logic. With an
extensive bibliography, this book provides in-depth insight into
fuzzy Semantic Web languages for non-fuzzy set theory and fuzzy
logic experts. It also helps researchers of non-Semantic Web
languages get a better understanding of the theoretical
fundamentals of Semantic Web languages.
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