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Content Management Systems (CMSs) are used in almost every industry
by millions of end-user organizations. In contrast to the 90s, they
are no longer used as isolated applications in one organization but
they support critical core operations in business ecosystems.
Content management today is more interactive and more integrative:
interactive because end-users are increasingly content creators
themselves and integrative because content elements can be embedded
into various other applications. The authors of this book
investigate how Semantic Technologies can increase interactivity
and integration capabilities of CMSs and discuss their business
value to millions of end-user organizations. This book has
therefore the objective, to reflect existing applications as well
as to discuss and present new applications for CMSs that use
Semantic Technologies. An evaluation of 27 CMSs concludes this book
and provides a basis for IT executives that plan to adopt or
replace a CMS in the near future.
Content Management Systems (CMSs) are used in almost every industry
by millions of end-user organizations. In contrast to the 90s, they
are no longer used as isolated applications in one organization but
they support critical core operations in business ecosystems.
Content management today is more interactive and more integrative:
interactive because end-users are increasingly content creators
themselves and integrative because content elements can be embedded
into various other applications. The authors of this book
investigate how Semantic Technologies can increase interactivity
and integration capabilities of CMSs and discuss their business
value to millions of end-user organizations. This book has
therefore the objective, to reflect existing applications as well
as to discuss and present new applications for CMSs that use
Semantic Technologies. An evaluation of 27 CMSs concludes this book
and provides a basis for IT executives that plan to adopt or
replace a CMS in the near future.
Wolfgang Maass entwickelt das Konzept eines digitalen Wissensgutes,
integriert es in ein Referenzmodell fur elektronische Wissensmarkte
und stellt technische Umsetzungsmoglichkeiten vor."
Most practical applications of artificial neural networks are based
on a computational model involving the propagation of continuous
variables from one processing unit to the next. In recent years,
data from neurobiological experiments have made it increasingly
clear that biological neural networks, which communicate through
pulses, use the timing of the pulses to transmit information and
perform computation. This realization has stimulated significant
research on pulsed neural networks, including theoretical analyses
and model development, neurobiological modeling, and hardware
implementation. This book presents the complete spectrum of current
research in pulsed neural networks and includes the most important
work from many of the key scientists in the field. Terrence J.
Sejnowski's foreword, "Neural Pulse Coding," presents an overview
of the topic. The first half of the book consists of longer
tutorial articles spanning neurobiology, theory, algorithms, and
hardware. The second half contains a larger number of shorter
research chapters that present more advanced concepts. The
contributors use consistent notation and terminology throughout the
book. Contributors Peter S. Burge, Stephen R. Deiss, Rodney J.
Douglas, John G. Elias, Wulfram Gerstner, Alister Hamilton, David
Horn, Axel Jahnke, Richard Kempter, Wolfgang Maass, Alessandro
Mortara, Alan F. Murray, David P. M. Northmore, Irit Opher, Kostas
A. Papathanasiou, Michael Recce, Barry J. P. Rising, Ulrich Roth,
Tim Schoenauer, Terrence J. Sejnowski, John Shawe-Taylor, Max R.
van Daalen, J. Leo van Hemmen, Philippe Venier, Hermann Wagner,
Adrian M. Whatley, Anthony M. Zador
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