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Title Linked Data Principles For Data Lakes
ID_Doc 35322
Authors Adamou A.; D’Aquin M.
Year 2020
Published Data Lakes
DOI http://dx.doi.org/10.1002/9781119720430.ch7
Abstract Linked Data are based on a set of principles and technologies to exploit the architecture of the Web in order to represent and provide access to machine-readable, globally integrated information. This chapter provides an overview of what Linked Data means, and of the general approach to create and consume Linked Data resources. It shows how this approach can be used at different levels in a data lake, including basic graph-based data storage and querying, data integration and data cataloging. To exemplify the application of Linked Data principles and technologies for data lakes, a demonstrating scenario is given in the context of the creation and application of a large data platform for a smart city: the Milton Keynes Data Hub. Both Linked Data and data lakes operate under principles that could be interpreted as an assumption of levity towards the traditional rigor of database systems. © ISTE Ltd 2020.
Author Keywords Data cataloging; Data integration; Data lake; Graph-based data querying; Graph-based data storage; Linked data; Milton Keynes data hub


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