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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Real-time Linked Dataspaces - Enabling Data Ecosystems for Intelligent Systems (Hardcover, 1st ed. 2020)
Loot Price: R1,365
Discovery Miles 13 650
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Real-time Linked Dataspaces - Enabling Data Ecosystems for Intelligent Systems (Hardcover, 1st ed. 2020)
Expected to ship within 12 - 17 working days
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This open access book explores the dataspace paradigm as a
best-effort approach to data management within data ecosystems. It
establishes the theoretical foundations and principles of real-time
linked dataspaces as a data platform for intelligent systems. The
book introduces a set of specialized best-effort techniques and
models to enable loose administrative proximity and semantic
integration for managing and processing events and streams. The
book is divided into five major parts: Part I "Fundamentals and
Concepts" details the motivation behind and core concepts of
real-time linked dataspaces, and establishes the need to evolve
data management techniques in order to meet the challenges of
enabling data ecosystems for intelligent systems within smart
environments. Further, it explains the fundamental concepts of
dataspaces and the need for specialization in the processing of
dynamic real-time data. Part II "Data Support Services" explores
the design and evaluation of critical services, including catalog,
entity management, query and search, data service discovery, and
human-in-the-loop. In turn, Part III "Stream and Event Processing
Services" addresses the design and evaluation of the specialized
techniques created for real-time support services including complex
event processing, event service composition, stream dissemination,
stream matching, and approximate semantic matching. Part IV
"Intelligent Systems and Applications" explores the use of
real-time linked dataspaces within real-world smart environments.
In closing, Part V "Future Directions" outlines future research
challenges for dataspaces, data ecosystems, and intelligent
systems. Readers will gain a detailed understanding of how the
dataspace paradigm is now being used to enable data ecosystems for
intelligent systems within smart environments. The book covers the
fundamental theory, the creation of new techniques needed for
support services, and lessons learned from real-world intelligent
systems and applications focused on sustainability. Accordingly, it
will benefit not only researchers and graduate students in the
fields of data management, big data, and IoT, but also
professionals who need to create advanced data management platforms
for intelligent systems, smart environments, and data ecosystems.
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