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For the 7th time, I-SEMANTICS, the International Conference on Semantic Systems, took place in Graz, presenting latest research outcomes and industry-ready applications to the wider public. Co-located with I-KNOW, the 11th International Conference on Knowledge Technologies, the event proved once again that the interest in semantic information processing is high and of increasing practical relevance.

One of the most magical things about the Internet is that it's a whimsical rabbit hole of discovery - we start somewhere familiar and click our way to a wonderland of curiosity and fascination we never knew existed. What makes this contagion of semi-serendipity possible is an intricate ecosystem of "link love" - a via-chain of attribution that allows us to discover new sources through those we already know and trust. 

AMHERST, Mass. - As computer scientists this year celebrate the 100th anniversary of the birth of the mathematical genius Alan Turing, who set out the basis for digital computing in the 1930s to anticipate the electronic age, they still quest after a machine as adaptable and intelligent as the human brain. Now, computer scientist Hava Siegelmann of the University of Massachusetts Amherst, an expert in neural networks, has taken Turing's work to its next logical step. She is translating her 1993 discovery of what she has dubbed "Super-Turing" computation into an adaptable computational system that learns and evolves, using input from the environment in a way much more like our brains do than classic Turing-type computers. She and her post-doctoral research colleague Jeremie Cabessa report on the advance in the current issue of Neural Computation. "This model is inspired by the brain," she says. "It is a mathematical formulation of the brain's neural networks with their adaptive abilities." The authors show that when the model is installed in an environment offering constant sensory stimuli like the real world, and when all stimulus-response pairs are considered over the machine's lifetime, the Super Turing model yields an exponentially greater repertoire of behaviors than the classical computer or Turing model. They demonstrate that the Super-Turing model is superior for human-like tasks and learning.

We are swamped with data - even our movements are tracked by mobile networks, and stored. Our web tracks are everywhere and our purchasing habits both online and offline are fully traceable. Businesses and security agencies are swamped with data, and yet there is widespread dissatisfaction about query tools and data analytics. Ask the right questions and you will get the right answers. That's all well and good with SQL, but it has failed us. Knowledgebase tools have failed us too.

"Non-reading is not just the absence of reading. It is a genuine activity, one that consists of adopting a stance in relation to the immense tide of books that protects you from drowning. On that basis, it deserves to be defended and even taught." At first blush, a book titled How to Talk About Books You Haven't Read (public library) sounds at once sacrilegious in its proposition and wildly meta-ironic. Then again, it gets to the heart of a painfully familiar literary bind - that book about a fascinating sliver of science, written by a breathlessly boring academic; the fetishized Ulysseses of the world, reluctantly half-read and promptly forgotten; the Gladwellian tome that could've been, should've been, and likely at some point was a magazine article. Must we read those from cover to cover in order to be complete, cultured individuals?

We are swamped with data - even our movements are tracked by mobile networks, and stored. Our web tracks are everywhere and our purchasing habits both online and offline are fully traceable. Businesses and security agencies are swamped with data, and yet there is widespread dissatisfaction about query tools and data analytics. Ask the right questions and you will get the right answers. That's all well and good with SQL, but it has failed us. Knowledgebase tools have failed us too.

For most of us, it usually occurs at the most inopportune times; never when we're searching for it. To Archimedes, it happened in the bathtub. Newton experienced it while wandering an apple orchard. Arthur Fry: church. Each encountered an epiphany, that powerful moment of spontaneous insight. Archimedes shouted Eureka! upon realizing how to calculate density and volume; to Newton came the law of universal gravity; to Arthur Fry, Post-it notes.

There is a big danger in judging things we don't really understand by how they appear. Unless you are really "in the loop," be wary of things that you see or things others tell you. Remember the old adage "Believe half of what you say, a third of what you see, and none of what you hear."

Managing Information Overload is without doubt one of the most important skills an individual can develop today.  With the massive increase in information availability, and with it bombarding us every day, we see people and organisations struggling to maintain their performance as they get weighed down.

For me my tweets and emails are streaming in. This causes several problems. 1. It gets harder to discern what actually is important. 2. It adds stress to your life. You feel like a rat that always needs to push the button for another pellet. 3. It makes it harder to deal with people around you like family and friends. After all, there's another tweet to read, another email to answer, another Quora question to ponder. 4. It makes taking the time to really ponder questions like these more difficult. 5. Sleep often is lost due to always trying to "keep up." 6. Health suffers because you aren't paying attention to that, or exercising, instead you are paying attention to the stream of info aimed at you.

A new report from the Institute for Global Futures, Global Futures Forecast 2012, lays out the top trends that it believes will shape the coming year. It's looking ahead to a future that it says may be characterized by complex trends, accelerated change, hyper-competition, disruption, innovation and uncertainty, and that will demand a new way of operating. It recommends continuing investment in innovation in the U.S., as that is the central driver of US and global competitive advantage, and a requirement for achieving more stable growth. And it advises that organizations' leaders need to do a better job becoming long-range thinkers given that the accelerated pace of change means that the future is coming at us faster than ever before, and with change comes risk. What do such things have to do with the Semantic Web and semantic technologies? Apparently, quite a lot.

The world today is filled with information. This proliferation makes it quite overwhelming to make good sense of "big data" that is continuously flowing in from a variety of new sources. In the past, the way to get things done was to keep data close, using small teams to sift through it. But now, people are used to having information at their fingertips. They're accustomed to sifting through it and coming up with new solutions, getting insights in unexpected ways.

Will the upsurge in activity around climate change and the food crisis repeat the cycle of the movement of movements over the past decade - momentary visibility then dissolution? Harry Halpin and Kay Summer say 'yes', unless different models of organising are embraced.

We live in a world of ever more change and choice, a world where we have far more opportunity than ever to achieve our potential. That kind of world is enormously exciting, and full of options. But it is also highly disorienting, threatening to overwhelm us with sensory and mental overload.  In that kind of world, the ability to provide persistent context becomes paradoxically ever more valuable. Persistent context helps to orient us and connect us in ways that can accelerate our efforts to achieve our potential.

"The results, she says, support a growing belief that people are using the Internet as a personal memory bank: the so-called Google effect. What surprised Sparrow most was not people's reliance on nonmemorized information but their ability to find it."

Value Networks and the true nature of collaboration meets this challenge head on with a systemic, human-network approach to managing business operations and ecosystems.