EAN: 9783319735146

LINKED DATA - SHERIF SAKR MARCIN WYLOT RAGHAVA ...

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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