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Linked Data [Englisch] [Taschenbuch]

David Wood , Marsha Zaidman , Luke Ruth

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16. Januar 2014
DESCRIPTION Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. It's been adopted by many well-known institutions, including Google, Facebook, IBM, Oracle, and government agencies, as well projects such as Drupal and WordPress. Linked Data presents the Linked Data model in plain, jargon-free language and offers practical techniques using everyday tools like JavaScript and Python. It works through examples of increasing complexity while explaining foundational concepts such as HTTP URIs, the Resource Description Framework (RDF), and the SPARQL query language. Readers will learn to use various Linked Data document formats to create powerful Web applications and mashups, and to effectively use emerging Web standards to access, find, and query structured data on the Web. RETAIL SELLING POINTS Written by Web developers for web developers A step-by-step, hands-on guide to using Linked Data Shows how to utilize the power of tomorrow's Web today AUDIENCE Written for Web developers by Web developers, this book requires no previous exposure to Linked Data technologies. ABOUT THE TECHNOLOGY The launch of Schema.org in June 2011 by Google, Microsoft and Yahoo! and the publication of Linked Data by retailers such as Best Buy, Sears and Volkswagen brought Linked Data into the mainstream. Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data.

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AUTHOR BIO David Wood architected the first large-scale RDF database (http://mulgara.org), re-architected the Persistent URL service (http://purl.org, http://purlz.org) to support Linked Data, and co-founded the Callimachus Project (http://callimachusproject.org). He is co-chair of the World Wide Web Consortium's RDF Working Group (http://w3.org/2011/rdf-wg/). 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 (http://callimachusproject.org). 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.

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Amazon.com: 4.7 von 5 Sternen  12 Rezensionen
1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Great book for web-developers interested in finding out more on the next generation technology of the WWW 11. März 2014
Von Florian Bauer - Veröffentlicht auf Amazon.com
This book is the first Linked Data book that I read that is focusing on Web developers directly - aiming to give them a full understanding of what linked data is, why it is so essential (yes, I strongly believe it IS essential) and how this technology can be used most efficiently. Using a combination of theory and experience from existing use cases makes it an easy read.

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 ...
1 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Brings together the parts to make a clear picture 3. Februar 2014
Von Paul Gearon - Veröffentlicht auf Amazon.com
The topic of linked data covers lots of aspects of W3C/IETF technologies and methodologies for using them. These include RDF, HTTP, SPARQL, XML, URIs, JSON, and more. The official documentation always has a lot of details, but the presentation is typically dense and hard to read. More problematic is that the subtleties of how the various standards interact is usually opaque, and only becomes apparent with much experience.

Linked Data addresses both problems well. It describes the necessary standards in an accessible way, and brings them together in clear examples. Issues that aren't immediately apparently, such as the structure of URIs, are exposed, with good suggestions and examples of how these work for you. In general the focus of the book is on data and technologies for working with it, rather than on code in a particular language, though Javascript and Python are used when a concrete example is needed. The final chapters summarize the material by creating complete examples for building web pages from multiple data sources, built from HTML and Javascript, and providing specific advice for publishing your own data in a way that it can be linked to by others.

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.
5.0 von 5 Sternen This is the one book on the subject that explains it all – the right way. 11. April 2014
Von JOHN HYADUCK - Veröffentlicht auf Amazon.com
Earlier in this technology area’s life growth, following a long list of successful enterprise software projects I was lucky to be part of architecting and developing a Linked Data-oriented system that leveraged RDF, SPARQL and data discovery that promised to solve complex search problems. We believed that the emerging models and tools would go beyond what we could traditionally do with very difficult coding and non-reusable databases.
The project was not a complete success. After many months of work and efforts of highly educated and well trained engineers – the technology and toolset just could not construct the vision. These were the early years and the tools and technology features were just not there yet. Things have changed.
Working my way through Linked Data – Structured data on the Web felt more like completing a course by a team of seasoned advisors at an exclusive university program. All of the pain points my team hit were explained in no nonsense language this time. The authors introduced improvements in the underlying technology since I used it in a way that spoke directly to many of my own experiences in real world development. There is a lot of formalism in the published documentation of this subject but this book clears away the academic in favor of the matter of fact.
Some of our prior understanding of the real vision and scope of Linked Data was limited because of the narrow audience at the time. Now nearly everything we do online from looking up catalog items to relating social media information to running a business with intelligent customer focus relies on Linked Data. The base innovations like RDF and SPARQL have moved beyond theoretical experiments and now are fully integrated into off the shelf web components. All the web giants have gone all in with it and are leveraging the linking of existing information for value we had expected but never have been able to realize with the older tools - and guidance/books/etc.
Early books were mostly selling the vision and rough sketches of RDF, SPARQL, and web of data. The tools were academic, clunky, buggy, and did not have the robustness to confidently recommend betting the business on. Now we have a detailed walk through of exactly how to think about the problems you are going to solve with Linked Data, how to choose the right design approach, how to develop, test, deploy, and share the solution that will work now and likely for many, many years in the online ecosystem.
Clearing up many dusty and incomplete ideas about the RDF information itself, the book describes how what we thought were implementation details were actually *models* for Linked Data that can be implemented in different ways and formats. This is great since the original SPARQL/xml formats were time consuming and error-prone to use and frankly made my skin crawl. This is now done inside web pages via RDFa, turtle, JSON-LD to the relief of many.
Part One gives all the information needed to see how this can be done quicker today with simplified formats that developers and users will understand. It also gives examples of how to make use of existing vocabularies (old term – taxonomies) to save time, enable reuse and interoperability, and overall make bringing together more types of available data into your design than you may have though possible.
Technically, the other parts go on to detail the realities of storing Linked Data in databases, web page embedding and serving issues, programming with Python or standalone tools, combining your data with externally sourced information, finding opportunities for new data linking, and publishing your ideas and data to help others find and benefit from your creative work.
The examples are well designed to help you retain the concepts. They are a bit repetitive but referring to the same data has advantages in helping you see the different ways linked information will be carried through the technology. I am sure I know more about Bonobo’s than I ever though I would. It also would help to be a bit of a star wars fan.
The review of Callimachus was interesting to me since we had to try to piece together most of what it does as a Linked-Data application server back in my original project. If something like this were around then I would have just used it and moved on. The same can be said of the book. If you work in RDF/RDFa/SPARQL/cross linked web data, etc. then you need the information in the book. Well done.
5.0 von 5 Sternen Practically everything you need to know about Linked Data 2. April 2014
Von Phil Archer - Veröffentlicht auf Amazon.com
I spend a lot of my time evangelising about Linked Data as I work for W3C where the standards on which it is based come from. So, yes, I am privileged to know the authors, and yes, I am biased in their favour - but I make no apology for that. This book is full of practical guidance and background information that sets out exactly what can be done with data on the World Wide Web and how to do it.

At its heart, Linked Data is about using the Web as your data platform - use http URIs to identify things, provide data in multiple formats from those URIs and so on. That applies whether you want to use Linked data Technology or not, but this book takes you through real world examples of what you can do with LD that is difficult, if not impossible, to do any other way. It's about solving real world problems, taking data from multiple sources and using that synergy to find new knowledge. Don't Web developers all like JSON feeds? Yes, of course - that's the easy way to get data into your applications - but what this book shows you is how you can discover, mix and query data and then handle it in different formats, including JSON, record provenance information and so on. It's how you make incredibly powerful applications with almost no extra effort.

As well as being an excellent guidebook for beginners in the field, it also fills in the gaps that those of us already inside the Linked Data tent secretly may not know, or may have forgotten that we knew, but be too afraid to ask. I'll leave it to you to guess exactly what I had forgotten that this book reminded me of, but I was grateful.

Phil Archer
W3C Data Activity Lead
4.0 von 5 Sternen Uncovers a hidden world 25. März 2014
Von Benjamin - Veröffentlicht auf Amazon.com
Linked Data uncovers a world that many tech savvy readers may not know exists. Or rather they’ve seen it’s surface on search results, or ecommerce sites, but didn’t know how deep the data could go. Linked data is a perfect starter reference to gain some insight into this world, and get someone’s feet wet. It’s a messy, yet structured, organized world that is for machine reading, not human consumption, and that’s ok. Yet, in a strange way, if the practice linked data is deliberately integral to machine-based communication, sadly that leaves us human readers outside looking in. It’s the opposite of the crawl/scrape and API end of the spectrum where hacks and data mashups are thrown together with reckless abandon. The journey therefore seems somewhat dry or academic at times, more theory than swashbuckling practice.

To overcome this outside looking in feel, the author introduces at every turn a recommended tool or site or dataset to further one's discovery of what linked data can do. From profile builders to data checkers to browser extensions the reader can walk away from this book very well equipped to take their skills to the next level. However this leads to my major criticism for Linked Data: that it's not hands on enough with the code listings. If you like building step by step through the examples this is not the book for you. Most of the code examples are JavaScript or HTML and there's only one or two Python examples. For deeper coding experience with Linked Data you'll have to use this as a jumping off point for your own exploration.

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.
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