Document (#42331)

Author
Sakr, S.
Wylot, M.
Mutharaju, R.
Le-Phuoc, D.
Fundulaki, I.
Title
Linked data : storing, querying, and reasoning
Imprint
Cham : Springer International Publishing
Year
2018
Pages
XX, 223 S
Isbn
978-3-319-73514-6
Abstract
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.
Footnote
Rez. in: JASIST 70(2019) no.8, S.905-907 (Dean Allemang).
Theme
Semantische Interoperabilität
Semantic Web
LCSH
Linked data
Semantic Web
RDF (Document markup language)
Computer science
Computers
Information storage and retrieval
Artificial intelligence
RSWK
Linked Data
BK
54.72 (Künstliche Intelligenz)
DDC
025.0427
LCC
Z666.73.L56
QA75.5-76.95

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