A Semantic Web Primer (Cooperative Information Systems series) Review

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A Semantic Web Primer (Cooperative Information Systems series) Review
If you've read about the basics of the semantic web online, you won't get much more from this book. There's only 6 pages devoted to SPARQL, and no mention of RDFa. Later chapters (especially "Ontology Engineering") are thin and weak. You learn the dirt basics, but not how to build anything meaningful with it.A Semantic Web Primer (Cooperative Information Systems series) OverviewThe development of the Semantic Web, with machine-readable content, hasthe potential to revolutionize the World Wide Web and its use. A Semantic Web Primerprovides an introduction and guide to this still emerging field, describing its keyideas, languages, and technologies. Suitable for use as a textbook or for self-studyby professionals, it concentrates on undergraduate-level fundamental concepts andtechniques that will enable readers to proceed with building applications on theirown and includes exercises, project descriptions, and annotated references torelevant online materials. A Semantic Web Primer provides a systematic treatment ofthe different languages (XML, RDF, OWL, and rules) and technologies (explicitmetadata, ontologies, and logic and inference) that are central to Semantic Webdevelopment as well as such crucial related topics as ontology engineering andapplication scenarios. This substantially revised and updated second editionreflects recent developments in the field, covering new application areas and tools.The new material includes a discussion of such topics as SPARQL as the RDF querylanguage; OWL DLP and its interesting practical and theoretical properties; the SWRLlanguage (in the chapter on rules); OWL-S (on which the discussion of Web servicesis now based). The new final chapter considers the state of the art of the fieldtoday, captures ongoing discussions, and outlines the most challenging issues facingthe Semantic Web in the future. Supplementary materials, including slides, onlineversions of many of the code fragments in the book, and links to further reading,can be found at http://www.semanticwebprimer.org.Grigoris Antoniou is Professor atthe Institute for Computer Science, FORTH (Foundation for Research andTechnology-Hellas), Heraklion, Greece. Frank van Harmelen is Professor in theDepartment of Artificial Intelligence at the Vrije Universiteit, Amsterdam, theNetherlands.

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Tagging: People-powered Metadata for the Social Web Review

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Tagging: People-powered Metadata for the Social Web Review
This was a really good book. It wasn't what I expected it to be. But it was a worthwhile read. I picked it up because I do a fair amount of work writing book reviews and making guides and booklists on Amazon. And Amazon now lets guys like me create tags for the books I review and include in guides and lists. I kind of expected this book would have talked a little bit about the Amazon system of tagging. Nope. But that's OK. It's still a good book. It includes seven chapters and three appendices:
1. What is tagging?
2. The value of tagging
3. Tagging system architecture
4. Tags, metadata, and classical systems
5. Navigation and visualization
6. Interfaces
7. Technical design
A. Case study: social bookmarking
B. Case study: media sharing
C. Case study: personal information management
Tagging is a form of information that is really starting to take root in our computer systems and online systems. I first experienced it back in 1998 when I purchased a copy of Lotus Organizer to use as my Personal Information Manager (PIM) when practicing law. The program allowed me to cross-reference the many lists I had created in its database. I thought it was really cool back then.
I was just getting into creating Web sites in 1998, too. And I found the tagging features in Lotus Organizer enabled me to do with the data in my database what I was doing with my Web pages in my Web sites. Basically tagging is another name for hyperlinking. Nothing more and nothing less. A tag will take you to a new idea, concept, data item, data page, or database. It's a springboard that will take you to information.
This book points out that tagging is a new form of information management as it relates to personal organization, information architecture, and online communities. I suppose my Lotus Organizer program is an example of the first, and Amazon's system is an example of the last. So is it really all that new?
All in all, this book explains the value of tagging. It's a guide to what, how and why to tag. Each chapter ended in a list of bullet points called a Summary. I liked this feature very much since it helped me skim through the book quickly. 5 stars!Tagging: People-powered Metadata for the Social Web OverviewTagging is fast becoming one of the primary ways people organize and manage digital information. Tagging complements traditional organizational tools like folders and search on users desktops as well as on the web. These developments mean that tagging has broad implications for information management, information architecture and interface design. And its reach extends beyond these technical domains to our culture at large. We can imagine, for example, the scrapbookers of the future curating their digital photos, emails, ticket stubs and other mementos with tags. This book explains the value of tagging, explores why people tag, how tagging works and when it can be used to improve the user experience. It exposes tagging's superficial simplicity to reveal interesting issues related to usability, information architecture, online community and collective intelligence.

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A Developer's Guide to the Semantic Web Review

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A Developer's Guide to the Semantic Web ReviewNot only does A Developer's Guide to Semantic Web offer an excellent introduction to "what is" Semantic Web, but it also guides the readers onto the "how to" stage with assiduously, almost mind-numbingly easy to understand, step by step coding examples. Needless to say, the author has an amazing grasp of the Semantic web technology himself. Unlike some quite complicated and mind-boggling books on Semantic Web, A Developer's Guide to Semantic Web is easy to comprehend, therefore an outstanding tool. Concepts such as RDF, OWL, SPARQL, and well-known applications such as FOAF, Wiki, DBpedi and LOD are brilliantly illustrated with ample coding examples. The last section of the book weaves all of them together with raw examples of running applications, which are readily available for use. This is a must-read for students, researchers, software engineers and developers who are interested in the Semantic Web technology. Highly recommended.A Developer's Guide to the Semantic Web OverviewCovering the theory, technical components and applications of the Semantic Web, this book's unrivalled coverage includes the latest on W3C standards such as OWL 2, and discusses new projects such as DBpedia. It also shows how to put theory into practice.

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Beautiful Data: The Stories Behind Elegant Data Solutions Review

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Beautiful Data: The Stories Behind Elegant Data Solutions Review"Beautiful Data" is a collection of essays on data; how people have transformed it, worked within its confines, and offers a glimpse of where we might go. Many of the essays are wonderful snippets into how some people perceive data while others fall flat. Overall its a mostly enjoyable read that helps open up your mind to new potentials.
First a disclaimer; I am not a data person. However I've been involved, fairly heavily, in the data field. In the parlance of the world, I'm a back end person. However I'm always trying to think about the front end; how will things be used and what information can we gleen from the system (or systems). With that in mind, this is a book that speaks to me - its all about the front end.
Some of the best essays in the book would be:
The first essay by Nathan Yau he talks very much about user created data and personal databases (knowledge bases). What's exciting here is how he takes data already out there, data you have provided, and creates something useful and yes, beautiful, out of it.
The Second essay by Follett and Holm really gets down to how if you want the data, you need to present it in a way that brings people into the process. As someone who has a slight crush on the statistics and practices in polling (and designing poll questions) this essay really was a fascinating read.
The third essay by Hughes detailed how he handled images on the Mars mission. There wasn't anything here that wasn't done in embedded systems 15 years ago; still it was a great walk down memory lane since I used to program embedded imaging systems.
Chapter 4 really hit home PNUTShell is cloud storage and data processing in real time. This really is the stuff of the future.
Chapter 5 by Jeff Hammerbacher really didn't offer too many insights but his writing style is fluid and fun plus he offered a glimpse into how Facebook grew.
We then have the slow section of the book - Chapter 8 on distributed social data had promise but it read more like a company white page than an interesting article. Same with Chapter 12 [...].
Thankfully chapter 10 on Radiohead's "House of Cards" video was there - and here we are presented with true beauty in data - beautiful enough to create a music video out of!
I'm still on the fence with Chapter 13 - What Data Doesn't Do. It was an interesting chapter but it felt both too long and too short at the same time. I almost felt that in the author, Coco Krumme, were to write a book on this topic, I'd want to read it. However her essay was not the right vehicle.
Finally, the last chapter - "Connecting Data" was a truly inspiring piece; one that offers up paths for the future. I am sure a few start ups will form over the questions posed in by Segaran (or maybe the questions to the questions).
Overall there were enough strengths to overcome the weak chapters. My main complaints are trivial; poor binding of the book, too many PhD candidate papers and not enough from out in the trenches. I'd love to see something from Stonebreaker here; its hard to talk about beautiful data and not have him in it. Or forget [...]and talk about many eyes. Or map reduce. Still, "Beautiful Data" succeeds. It opened up my mind to different possibilities for data representation and usage.
Beautiful Data: The Stories Behind Elegant Data Solutions Overview
In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will:

Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web
Learn how to visualize trends in urban crime, using maps and data mashups
Discover the challenges of designing a data processing system that works within the constraints of space travel
Learn how crowdsourcing and transparency have combined to advance the state of drug research
Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data
Learn about the massive infrastructure required to create, capture, and process DNA data

That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:
Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

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Web 2.0 Fundamentals for Developers: With AJAX, Development Tools, and Mobile Platforms Review

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Web 2.0 Fundamentals for Developers: With AJAX, Development Tools, and Mobile Platforms ReviewThis book describe lots of important aspects of Web 2.0 and helps in dealing with Product-owner/developers. Now I can
ask the right kind of questions to product managers and developers to find out why they chose the products and tools they're using on a project, and why they eliminated other alternatives, and be in a better position to understand their responses.
This book is prepared in a very meticulous fashion. The writing is strong and focused, and the authors make it clear when they are presenting an overview of a specific topic versus an in-depth discussion. The code samples were helpful to understand usage of the tool(s).
This is definitely a very ambitious book because it covers so many aspects of Web 2.0, and the authors did an impressive job of providing breadth and a lot of depth for many topics. This book gives depth where it's really needed and focus on breadth where it's appropriate.
I really liked the approach used for the two mobile chapters: the first mobile chapter gives an overview of four major platforms. The second mobile chapter discusses other alternatives to give you an understanding of what type of coding is needed to develop apps for each of those platforms.
This book gave a great jump start in Web 2.0!Web 2.0 Fundamentals for Developers: With AJAX, Development Tools, and Mobile Platforms OverviewDesigned for a broad spectrum of people with technically diverse backgrounds, this book covers the most recent developments in Web 2.0 programming topics and applications, including up-to-date material on cloud computing, Google AppEngine, Social Networks, Comet, HTML5, semantic technology, and a chapter on the future of the Web. Web 2.0 Fundamentals: With AJAX, Development Tools, and Mobile Platforms prepares readers for more advanced technical topics in Web 2.0. The accompanying CD-ROM and companion website provide code samples from the book and appendices with an extensive set of links for supplemental material and links for the Twitter and Facebook pages.

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