These are exciting times in the fields of Fuzzy Logic and the
Semantic Web, and this book will add to the excitement, as it is
the first volume to focus on the growing connections between these
two fields. This book is expected to be a valuable aid to anyone
considering the application of Fuzzy Logic to the Semantic Web,
because it contains a number of detailed accounts of these combined
fields, written by leading authors in several countries. The Fuzzy
Logic field has been maturing for forty years. These years have
witnessed a tremendous growth in the number and variety of
applications, with a real-world impact 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 field of
applications of Fuzzy Logic.
This book, the first in the new series Capturing Intelligence,
shows the positive role Fuzzy Logic, and more generally Soft
Computing, can play in the development of the Semantic Web, filling
a gap and facing a new challenge. It covers concepts, tools,
techniques and applications exhibiting the usefulness, and the
necessity, for using Fuzzy Logic in the Semantic Web. It finally
opens the road to new systems with a high Web IQ.
Most of today's Web content is suitable for human consumption. The
Semantic Web is presented as an extension of the current web in
which information is given well-defined meaning, better enabling
computers and people to work in cooperation. For example, within
the Semantic Web, computers will understand the meaning of semantic
data on a web page by following links to specified ontologies. But
while the Semantic Web vision and research attracts attention, as
long as it will be used two-valued-based logical methods no
progress will be expected in handling ill-structured, uncertain or
imprecise information encountered in real world knowledge. Fuzzy
Logic and associated concepts and techniques (more generally, Soft
Computing), has certainly a positive role to play in the
development of the Semantic Web. Fuzzy Logic will not supposed to
be the basis for the Semantic Web but its related concepts and
techniques will certainly reinforce the systems classically
developed within W3C.
In fact, Fuzzy Logic cannot be ignored in order to bridge the gap
between human-understandable soft logic and machine-readable hard
logic. None of the usual logical requirements can be guaranteed:
there is no centrally defined format for data, no guarantee of
truth for assertions made, no guarantee of consistency. To support
these arguments, this book shows how components of the Semantic Web
(like XML, RDF, Description Logics, Conceptual Graphs, Ontologies)
can be covered, with in each case a Fuzzy Logic focus.
Key features.
- First volume to focus on the growing connections between Fuzzy
Logic and the Semantic Web.
- Keynote chapter by Lotfi Zadeh.
- The Semantic Web is presently expected to be a major field of
applications of Fuzzy Logic.
- It fills a gap and faces a new challenge in the development of
the Semantic Web.
- It opens the road to new systems with a high Web IQ.
- Contributed chapters by Fuzzy Logic leading experts.
- First volume to focus on the growing connections between Fuzzy
Logic and the Semantic Web.
- Keynote chapter by Lotfi Zadeh.
- The Semantic Web is presently expected to be a major field of
applications of Fuzzy Logic.
- It fills a gap and faces a new challenge in the development of
the Semantic Web.
- It opens the road to new systems with a high Web IQ.
- Contributed chapters by Fuzzy Logic leading experts.
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