Shop our top holiday gift cards
Enjoy fast, free delivery, exclusive deals, and award-winning movies & TV shows.
$140.77 with 22 percent savings
List Price: $179.99
FREE delivery Sunday, November 15
Or fastest delivery November 12 - 13
Available to ship in 1-2 days
$$140.77 () Includes selected options. Includes initial monthly payment and selected options. Details
Price
Subtotal
$$140.77
Subtotal
Initial payment breakdown
Shipping cost, delivery date, and order total (including tax) shown at checkout.
Shipper / Seller
Amazon.com
Amazon.com
Shipper / Seller
Amazon.com
Returns
FREE refund/replacement until Jan 31, 2027
FREE refund/replacement until Jan 31, 2027
For the 2026 holiday season, eligible items purchased between November 1 and December 31, 2026 can be returned until January 31, 2027.
Quick refund
Usually issued within 24 hours. See exceptions
FREE return
At least one free return option available.
Convenient dropoff
At any of our 50,000 US locations.
See return policy
Gift options
Available at checkout
Available at checkout This item is a gift. Change
At checkout, you can add a custom message, a gift receipt for easy returns and have the item gift-wrapped
Payment
Secure transaction
Your transaction is secure
We work hard to protect your security and privacy. Our payment security system encrypts your information during transmission. We don’t share your credit card details with third-party sellers, and we don’t sell your information to others. Learn more
Added to

Sorry, there was a problem.

There was an error retrieving your Wish Lists. Please try again.

Sorry, there was a problem.

List unavailable.
Kindle app logo image

Download the free Kindle app and start reading Kindle books instantly on your smartphone, tablet, or computer - no Kindle device required.

Read instantly on your browser with Kindle for Web.

Using your mobile phone camera - scan the code below and download the Kindle app.

QR code to download the Kindle App

  • Linked Data: Storing, Querying, and Reasoning

Follow the author

Follow authors for new release and deal updates, plus improved recommendations. See updates from all followed authors in Your Books.
Sherif Sakr
Follow
Something went wrong. Please try your request again later.

Linked Data: Storing, Querying, and Reasoning

by Sherif Sakr (Author), Marcin Wylot (Author), Raghava Mutharaju (Author), Format: Hardcover
5.0 out of 5 stars (1)
{"desktop_buybox_group_1":[{"displayPrice":"$140.77","priceAmount":140.77,"currencySymbol":"$","integerValue":"140","decimalSeparator":".","fractionalValue":"77","symbolPosition":"left","hasSpace":false,"showFractionalPartIfEmpty":true,"offerListingId":"HAW7VP3ctVlME06KL0UIpPBBvEwfRo4xPDs7m4qiWQX5V3JmeQBN1u%2BmCl9xHsUy3TbjykXbvmWRIcVQcwsjQv1L4Lo3Ly4JQX0D6w9hPNMJy32nFduHFvzfYrIXIWT%2FZ36zZpMI%2Fy%2FbsPCJf3tZ8Q%3D%3D","locale":"en-US","buyingOptionType":"NEW","aapiBuyingOptionIndex":0}]}

Purchase options and add-ons

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.
Read more
Previous slide of product details
  1. ISBN-10
    3319735144
  2. ISBN-13
    978-3319735146
  3. Edition
    2018th
  4. Publisher
    Springer
  5. Publication date
    March 9, 2018
  6. Language
    English
  7. Dimensions
    6.14 x 0.56 x 9.21 inches
  8. Print length
    243 pages
Next slide of product details

Editorial Reviews

Review

“I recommend this book for anyone interested in Semantic Web beyond just data publishing and querying SPARQL endpoints for gaining a deeper insight on what efficient management of Linked Data means and how it can be implemented and realized using modern NoSQL database systems.” (Axel Polleres, Vienna University of Economics and Business, Austria)

From the Back Cover

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.

Product details

  • Publisher ‏ : ‎ Springer
  • Publication date ‏ : ‎ March 9, 2018
  • Edition ‏ : ‎ 2018th
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 243 pages
  • ISBN-10 ‏ : ‎ 3319735144
  • ISBN-13 ‏ : ‎ 978-3319735146
  • Item Weight ‏ : ‎ 1.15 pounds
  • Dimensions ‏ : ‎ 6.14 x 0.56 x 9.21 inches
  • Best Sellers Rank: #1,322 in Network Storage & Retrieval Administration
  • Customer Reviews:
    5.0 out of 5 stars (1)

About the author

Follow authors for new release and deal updates, plus improved recommendations. See updates from all followed authors in Your Books.
Sherif Sakr

Sherif Sakr

Brief content visible, double tap to read full content.
Full content visible, double tap to read brief content.

Prof. Sherif Sakr is a Professor, Scientific Researcher, Technical Consultant and Author. He received his PhD degree in Computer and Information Science from Konstanz University, Germany in 2007. He received his BSc and MSc degrees in Computer Science from the Information Systems department at the Faculty of Computers and Information in Cairo University, Egypt, in 2000 and 2003 respectively. In 2013, Sherif has been awarded the Stanford Innovation and Entrepreneurship Certificate. Prof. Sakr also holds an MSc degree in International Relations from Macquarie University (2016). Prof. Sakr held appointments in several international academic and research institutes including UNSW Australia, DATA61/CSIRO, Macquarie University, Microsoft Research, Nokia Bell Labs, TU Dresden, University of Zurich, Cairo University and King Saud bin Abdulaziz University for Health Sciences. Prof. Sakr is an ACM and IEEE distinguished speaker. For more information, please visit http://www.cse.unsw.edu.au/~ssakr/

Customer reviews

5 out of 5 stars
1 global rating
Sign in to see customer reviews.