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Titlebook: Real-time Linked Dataspaces; Enabling Data Ecosys Edward Curry Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Open

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书目名称Real-time Linked Dataspaces
副标题Enabling Data Ecosys
编辑Edward Curry
视频video
概述Establishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems.Introduces specialized best-effort techniques and models to enable incr
图书封面Titlebook: Real-time Linked Dataspaces; Enabling Data Ecosys Edward Curry Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The Author(s) 2020 Open
描述.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
出版日期Book‘‘‘‘‘‘‘‘ 2020
关键词Open Access; Linked Dataspaces; Smart Environments; Distributed Computing Methodologies; Internet of Thi
版次1
doihttps://doi.org/10.1007/978-3-030-29665-0
isbn_softcover978-3-030-29667-4
isbn_ebook978-3-030-29665-0
copyrightThe Editor(s) (if applicable) and The Author(s) 2020
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978-3-030-29667-4The Editor(s) (if applicable) and The Author(s) 2020
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Edward CurryEstablishes the theoretical foundations and principles of real-time linked dataspaces as a data platform for intelligent systems.Introduces specialized best-effort techniques and models to enable incr
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Real-time Linked Dataspaces: A Data Platform for Intelligent Systems Within Internet of Things-Basedd compare the notches on their prehistoric data storage devices (their tally sticks) to make basic calculations that would allow them to make predictions such as how long their food supplies would last. From these early examples, we can trace a gradual evolution of the ability of humans to store, an
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Enabling Knowledge Flows in an Intelligent Systems Data Ecosystemtion, community technology platforms, and within or across sectors. This chapter explores the role a data ecosystem can play in the design of intelligent systems to support data-rich Internet of Things (IoT)-based smart environments. The chapter examines different elements of an intelligent systems
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Dataspaces: Fundamentals, Principles, and Techniques, it is difficult and expensive to obtain an upfront unifying schema across all sources. Data is integrated on an “as-needed” basis with the labour-intensive aspects of data integration postponed until they are required. Dataspaces reduce the initial effort required to set up data integration by rel
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