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The future of knowledge navigation | #HCI #Wolfram #interoperability

The future of knowledge navigation | #HCI #Wolfram #interoperability | e-Xploration | Scoop.it
luiy's insight:

Stephen Wolfram's recent announcement may change all that. The Wolfram Alpha natural language he has announced seems to be a solution to many complex human/computer interface problems. According to Wolfram, symbolic programming is the future of systems design. He says:

"There are plenty of existing general-purpose computer languages. But their vision is very different—and in a sense much more modest—than the Wolfram Language. They concentrate on managing the structure of programs, keeping the language itself small in scope, and relying on a web of external libraries for additional functionality. In the Wolfram Language my concept from the very beginning has been to create a single tightly integrated system in which as much as possible is included right in the language itself."

Wolfram also talks about the fluidity of the new language, suggesting that coding and data can become interchangeable:

"In most languages there’s a sharp distinction between programs, and data, and the output of programs. Not so in the Wolfram Language. It’s all completely fluid. Data becomes algorithmic. Algorithms become data. There’s no distinction needed between code and data. And everything becomes both intrinsically scriptable, and intrinsically interactive. And there’s both a new level of interoperability, and a new level of modularity."

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Rescooped by luiy from Big Data Analysis in the Clouds

Stephen Wolfram Adds Analytics to the Quantified-Self Movement | MIT Technology Review

Stephen Wolfram Adds Analytics to the Quantified-Self Movement | MIT Technology Review | e-Xploration | Scoop.it
The creator of the Wolfram Alpha search engine explains why he thinks your life should be measured, analyzed, and improved.

Via Pierre Levy
luiy's insight:

What do you see as the big applications in personal analytics?

Augmented memory is going to be very important. I’ve been spoiled because for years I’ve had the ability to search my e-mail and all my other records. I’ve been the CEO of the same company for 25 years, and so I never changed jobs and lost my data. That’s something that I think people will just come to expect. Pure memory augmentation is probably the first step.


The next is preëmptive information delivery. That means knowing enough about people’s history to know what they’re going to care about. Imagine someone is reading a newspaper article, and we know there is a person mentioned in it that they went to high school with, and so we can flag it. I think that’s the sort of thing it’s possible to dramatically automate and make more efficient.


Then there will be a certain segment of the population that will be into the self-improvement side of things, using analytics to learn about ourselves. Because we may have a vague sense about something, but when the pattern is explicit, we can decide, “Do we like that behavior, do we not?” Very early on, back in the 1990s, when I first analyzed my e-mail archive, I learned that a lot of e-mail threads at my company would, by a certain time of day, just resolve themselves. That was a useful thing to know, because if I jumped in too early I was just wasting my time.

Christophe CESETTI's curator insight, May 10, 2013 7:01 PM

here some more information about

• Measuring Employee Happiness and efficiency http://pear.ly/b7_yL

• from a french article "Le recrutement et la productivité à l’heure des Big Data" http://ow.ly/kSILt

• Pearltree http://pear.ly/b7_lf