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Books > Computing & IT > Applications of computing > Artificial intelligence
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Linked Data - Storing, Querying, and Reasoning (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R4,739
Discovery Miles 47 390
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Linked Data - Storing, Querying, and Reasoning (Paperback, Softcover reprint of the original 1st ed. 2018)
Expected to ship within 10 - 15 working days
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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 and Linked Data
and provides a roadmap for the book. Next, Chapter 2 briefly
presents the basic concepts underpinning Linked Data technologies
that are discussed in the book. Chapter 3 then offers an overview
of various techniques and systems for centrally querying RDF
datasets, and Chapter 4 outlines various techniques and systems for
efficiently querying large RDF datasets in distributed
environments. Subsequently, Chapter 5 explores how streaming
requirements are addressed in current, state-of-the-art RDF stream
data processing. Chapter 6 covers performance and scaling issues of
distributed RDF reasoning systems, while Chapter 7 details
benchmarks for RDF query engines and instance matching systems.
Chapter 8 addresses the provenance management for Linked Data and
presents the different provenance models developed. Lastly, Chapter
9 offers a brief summary, highlighting and providing insights into
some of the open challenges and research directions. Providing an
updated overview of methods, technologies and systems related to
Linked Data this book is mainly intended for students and
researchers who are interested in the Linked Data domain. It
enables students to gain an understanding of the foundations and
underpinning technologies and standards for Linked Data, while
researchers benefit from the in-depth coverage of the emerging and
ongoing advances in Linked Data storing, querying, reasoning, and
provenance management systems. Further, it serves as a starting
point to tackle the next research challenges in the domain of
Linked Data management.
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