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Linked Data Storing, Querying, and Reasoning /

This book describes efficient and effective techniques for harnessing the power of Linked Data by tackling the various aspects of managing its growing volume: storing, querying, reasoning, provenance management and benchmarking. To this end, Chapter 1 introduces the main concepts of the Semantic Web...

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Main Authors:	Sakr, Sherif. (Author, http://id.loc.gov/vocabulary/relators/aut), Wylot, Marcin. (http://id.loc.gov/vocabulary/relators/aut), Mutharaju, Raghava. (http://id.loc.gov/vocabulary/relators/aut), Le Phuoc, Danh. (http://id.loc.gov/vocabulary/relators/aut), Fundulaki, Irini. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author:	SpringerLink (Online service)
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:	1st ed. 2018.
Subjects:	Computers. Artificial intelligence. Information storage and retrieval. Models and Principles. Artificial Intelligence. Information Storage and Retrieval.
Online Access:	https://doi.org/10.1007/978-3-319-73515-3

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