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Develops a Comprehensive, Global Model for Contextually Based
Processing Systems A new perspective on global information systems
operation Helping to advance a valuable paradigm shift in the next
generation and processing of knowledge, Introduction to Contextual
Processing: Theory and Applications provides a comprehensive model
for constructing a contextually based processing system. It
explores the components of this system, the interactions of the
components, key mathematical foundations behind the model, and new
concepts necessary for operating the system. After defining the key
dimensions of a model for contextual processing, the book discusses
how data is used to develop a semantic model for contexts as well
as language-driven context-specific processing actions. It then
applies rigorous mathematical methods to contexts, examines basic
sensor data fusion theory and applies it to the contextual fusion
of information, and describes the means to distribute contextual
information. The authors also illustrate a new type of data
repository model to manage contextual data, before concluding with
the requirements of contextual security in a global environment.
This seminal work presents an integrated framework for the design
and operation of the next generation of IT processing. It guides
the way for developing advanced IT systems and offers new models
and concepts that can support advanced semantic web and cloud
computing capabilities at a global scale.
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