• You can buy one with cash, anonymously.

• Then you own it.

• You are not required to sign a license that restricts your use of it.

• The format is known, and no proprietary technology is needed to read the book.

• You can, physically, scan and copy the book, and it’s sometimes lawful under copyright.

• Nobody has the power to destroy your book.

That list contrasts with his list of e-book drawbacks, including Stallman’s preferred derogatory term for digital rights management (DRM), using Amazon as the example:

• Amazon requires users to identify themselves to get an e-book.

• In some countries, Amazon says the user does not own the e-book.

• Amazon requires the user to accept a restrictive license on use of the e-book.

• The format is secret, and only proprietary user-restricting software can read it at all.

• To copy the e-book is impossible due to Digital Restrictions Management in the player and prohibited by the license, which is more restrictive than copyright law.

• Amazon can remotely delete the e-book using a back door. It used this back door in 2009 to delete thousands of copies of George Orwell’s 1984.

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For example, let’s look at how people find your content in the first place. As an Associate Content Strategy Director at Razorfish, I’ve had the opportunity to work with a wide range of clients who produce content. In some cases, these are publishing companies and content is their business. In other cases, they are companies that produce content to help share information about their products and services. Or perhaps a main concern is how to capture and share knowledge internally, within different branches of an organization. In all cases, one of the most common complaints we hear is, “We have all this content, but our readers/customers/prospects/employees aren’t finding what they’re looking for.”

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Excerpt:

By giving a search engine some basic demographic information, such as age, gender and educational background, it is possible to boost the engine’s chances of identifying user intent correctly, say Weber and Castillo. That personal information can be gleaned when people sign up to the other services, such as email, that search engines provide.

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His excerpt of an interview published in New Statesman:

How optimistic are you about the future of the book?

I don’t think the book of paper and ink will disappear, as long as we allow for technologies to coexist. The notion that one must replace the other is simply the urge of the new to exist alone on the planet, but it doesn’t happen – it didn’t happen with photography and painting, it didn’t happen with film and theatre, it didn’t happen with video and film, and it hasn’t happened with electronic technology and the printed page. I was delighted when Bill Gates, a number of years ago, wrote his book about the end of paper and then printed it on paper; I think that says a lot.

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Excerpt:

The myth of the Semantic Web is that it will be the silver bullet that solves all data interoperability problems automagically. The reality is that it will solve a number of very specific problems, but on the Web, what will cripple it is data quality. This is not the simple problem of data errors, but goes to the heart of much that is wrong with the Semantic Web. Computers are always part of a system that involves human goals and aspirations, and yet the semantics of the Semantic Web is only a mathematical exactitude about the relationship between two otherwise undefined symbols. To make those symbols useful, somebody has to use their brain, and make sure that the symbols mean exactly what they are supposed to mean – which is where data quality comes in.

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Information has gone from scarce to superabundant. That brings huge new benefits, says Kenneth Cukier but also big headaches.

Excerpt:

The amount of digital information increases tenfold every five years. Moore’s law, which the computer industry now takes for granted, says that the processing power and storage capacity of computer chips double or their prices halve roughly every 18 months. The software programs are getting better too. Edward Felten, a computer scientist at Princeton University, reckons that the improvements in the algorithms driving computer applications have played as important a part as Moore’s law for decades.

In this special report

* Information has become superabundant
* Too much data
* Information is changing business
* How internet companies profit from online data
* Governments are becoming more open about data
* News ways of showing data
* The uses of information about information
* New regulations
* How machines deal with information
* Sources and acknowledgments

One of the burning issues of 21st century, Read and enjoy.