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WeKnowIt is a 3 year Integrated Project developing novel techniques for exploiting multiple layers of intelligence from user-generated content, which together constitute Collective Intelligence, a form of intelligence that emerges from the collaboration and contributions of many individuals.

Web content management is at the most significant inflection point in its 15-year history. It's now all about the context. By 2013, Gartner contends, 40% of large companies will have context-aware computing projects on the way. Context is driving content and intelligent customer interactions, delivering Web experiences that will engage site visitors and deliver better business results.

Another example of the increasing focus on content intelligence - salsaDev - http://bit.ly/riy5BV

In the knowledge economy, content is no longer sufficient - everyone has access to a multitude of content. You cannot compete on what everyone knows. As you move up the hierarchy, it becomes more difficult to compete on individual competency - everyone is highly skilled and experienced at the top. It is hard to compete when everyone is so similar. The new advantage is context - how internal and external content is interpreted, combined, made sense of, and converted to new products and services. Creating competitive context requires social capital - the ability to find, utilize and combine the skills, knowledge and experience of others, inside and outside of the organization. Social capital is derived from employees' professional and business networks. The new competitive landscape requires focusing on between-employee factors, the connections that combine to create new processes, products and services. Social capital encompasses communities of practice, knowledge exchanges, information flows, interest groups, social networks and other emergent connections between employees, suppliers, regulators, partners and customers.

A question for you: How does discovering and sharing online information make you feel? [I'd bet a good number of you are frustrated, feeling the negative effects of what Eli Pariser calls the "filter bubble"...] Well, here's something else to consider: discovering and sharing information - and the means for curating it - should be serendipitous. Really, it should. A Form of Collective Intelligence I had the fortunate pleasure of meeting up with my friend Jarno Koponen while in Helsinki this past week. Jarno and his founding partner, Marko Anderson, have spent the last two plus years building a predictive discovery engine, called Futureful.

People who have already sifted through online information to make sense of a subject can help strangers facing similar tasks without ever directly communicating with them, researchers at Carnegie Mellon University and Microsoft Research have demonstrated. This process of distributed sensemaking, they say, could save time and result in a better understanding of the information needed for whatever goal users might have, whether it is planning a vacation, gathering information about a serious disease or trying to decide what product to buy.

You know how our social graphs are creeping into every aspect of our web lives, from search results to coupons? Well, get ready for something a lot more personal, a lot more targeted and, perhaps, a lot more creepy. Much as social graphs are maps of our social media connections that follow us across the web, interest graphs are maps of our interests. Some companies want them to follow us across the web, too, meaning that wherever we go, there we are. There'll be no more need to search through news sites for the stories we want, or shopping sites for the products we want, because the site will know as soon as we hit its system who we are and what we like. Whether you're fascinated or appalled by the idea of interest graphs, here's a taste of how they might work.