- Paperback: 336 pages
- Publisher: Manning Publications; 1 edition (January 24, 2014)
- Language: English
- ISBN-10: 1617290394
- ISBN-13: 978-1617290398
- Product Dimensions: 7.5 x 0.8 x 9.5 inches
- Shipping Weight: 1 pounds (View shipping rates and policies)
- Average Customer Review: 16 customer reviews
- Amazon Best Sellers Rank: #764,175 in Books (See Top 100 in Books)
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Linked Data: Structured Data on the Web 1st Edition
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About the Author
David Wood architected the first large-scale RDF database, re-architected the Persistent URL service to support Linked Data, and co-founded the Callimachus Project. He is also the co-chair of the World Wide Web Consortium's RDF Working Group.
Marsha Zaidman is Associate Professor Emerita of Computer Science at the University of Mary Washington, where she served as chair of the Department of Computer Science from 1997 to 2009.
Luke Ruth is a Linked Data developer supporting the Callimachus Project.
Michael Hausenblas leads the Linked Data Research Centre in Galway, Ireland. He is the project coordinator of the European Commission FP7 Support Action LOD Around-The-Clock (LATC) and other W3C standardization activities.
Top customer reviews
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Would give 5 stars, but I found it a bit lacking on discussing the nature of graph stores, which is essentially what RDF is.
All in all good however...shows the abilities of linked data.
The ‘Ah ha’ moment came when the bookmarklet for wishlists was created. It was the most hands on coding and it showed a practical application for linked data. I could see that one example expanded into the major project for the length of the book.
A word of caution about the book’s structure. Most programming books will introduce the topic/language and say "it's the best thing ever and here's why" followed by examples and a tour through the language. Linked data has a structure that repeats "this is what it is" for the first 80% of the book. If you’d like to know why you should read on first (with visuals!), I recommend you read the last chapters first. It lays out many compelling reasons for linked data like SEO which totally justify learning all the great details the author puts forward.
This book is not a complete exposé on the technologies for Linked Data, but provides a basis for understanding how to work with linked data, along with enough information to get real, useful projects going. The guidelines for publishing data were good, though given that the rest of the book is built on such concrete examples, I'd like to have seen a worked example for publishing. But the rest of the book to that point provides the reader with an understanding of what they want to see in published data, so a detailed chapter like that is not as necessary as it might have been.
Overall, it does a great job of taking the reader from not understanding anything about Linked Data at all, through to being able to build complete applications out of seamlessly integrated "linked" data (both yours, and from external sources), without the necessity of the coding intensive "mashing" of data that has been required in the past.
For someone like me, working in the field of Linked (Open) Data for several years it was great to see that someone finally wrote a book that I can recommend to web-developers who heard about the topic but don't know much about it yet (which is the vast majority of web-developers at the moment).
The topic itself is complex, but the book is written in a way that it is easy to understand, even for web-developers who never worked in the field of Semantic Web before. It should be part of every web-developer companies library ...