apply a semantic structure to bring order (read: computer logic) in the chaos (read: human expression)
Levy is currently working on a research program, called IEML (Information Economy Meta Language). IEML is a metalanguage and proposes itself as the language of collective intelligence.
Tim Berners Lee recognized the problematics of the messy web early on and proposed the Semantic Web to overcome messiness and apply a semantic structure to bring order (read: computer logic) in the chaos (read: human expression).
Pierre Levy, French philosopher and leading expert on collective intelligence, is on a similar mission. While driven by, arguably, a similar set of goals, his approach takes a step further. The problem with Berners Lee semantic structure is that implies a universal ontology, which might prove out to be the Achilles heel of the protocol. Levy's approach overcomes these problems.
Levy is currently working on a research program, called IEML (Information Economy Meta Language). IEML is a metalanguage and proposes itself as the language of collective intelligence.
27% of US smartphone users will use the device during in-store holiday shopping: A new Deloitte survey (Oct 26) of 5,000 U.S. consumers says of the 42% of consumers who own a smartphone, 27% will use the device while shopping for the holidays. 67% of these shoppers will use the devices to find store locations, 59% to compare prices, 46% to check product availability, 45% to shop at online stores, and 40% will scan bar codes.
At its core, gamification is about one thing: fun. In today's competitive battle for mindshare, games are the most effective tool for leveraging technology, rising above marketing noise and engaging the socially networked consumer.
The European: Is that what you are hinting at when you say that “it is always easier to find answers than to ask the right questions”?
Dyson: Finding answers is easy. The hard part is creating the map that matches specific answers to the right question. That’s what Google did: They used the power of computing – which is cheap and really does not have any limits – to crawl the entire internet and collected and index all the answers. And then,by letting human beings spend their precious time asking the right questions, they created a map between the two. That is a clever way of approaching a problem that would otherwise be incomprehensibly difficult.
The European: Is that what you are hinting at when you say that “it is always easier to find answers than to ask the right questions”?
Dyson: Finding answers is easy. The hard part is creating the map that matches specific answers to the right question. That’s what Google did: They used the power of computing – which is cheap and really does not have any limits – to crawl the entire internet and collected and index all the answers. And then,by letting human beings spend their precious time asking the right questions, they created a map between the two. That is a clever way of approaching a problem that would otherwise be incomprehensibly difficult.
Dyson: Right. We now live in a world where information is potentially unlimited. Information is cheap, but meaning is expensive. Where is the meaning? Only human beings can tell you where it is. We’re extracting meaning from our minds and our own lives.
The European: And we are faced with the task of shaping that process as it unfolds?
Dyson: I think that we are generally not very good at making decisions. Mostly, things just happen. And there are some very creative human individuals who provide the sparks to drive that process. History is unpredictable, so the important thing is to stay adaptable. When you go to an unknown island, you don’t go with concrete expectations of what you might find there. Evolution and innovation work like the human immune system: There is a library of possible responses to viruses. The body doesn’t plan ahead trying to predict what the next threat is going to be, it is trying to be ready for anything.
In the hyperlinked write up, the author pointed out three "items" which appear to make clear a topic I find quite unclear. My reaction was that these items do not capture search either of the moment or some "to be" world where content management experts, governance specialists, and "real" journalists look for information. The items described a future that underscores a conceptual problems in thinking about information retrieval.
Gamification, the use of gameplay mechanics for non-game applications, is transforming online news into an engaging, social and fun activity. It's quickly becoming the next frontier in web and mobile technology.
We now live in a world where information is potentially unlimited. Information is cheap, but meaning is expensive. Where is the meaning? Only human beings can tell you where it is. We're extracting meaning from our minds and our own lives."
According to a definition in the Gamification Wiki,"Game Mechanics are constructs of rules and feedback loops intended to produce enjoyable gameplay."
To break the definition into simpler terms, game mechanics let you build features that are fun and addictive. In my earlier gamification post, I provided a table that compared game mechanics to human desires. This is just a subset of possible types of game mechanics that could be incorporated into a community or website.
I wrote a post about Gamification last week and this week, I want to dive into more detail about how to apply gamification and game mechanics to a community site. It is interesting to see gamification now being applied in a marketing/website/community context, because many marketers and community managers have already been using these techniques to build engagement for several years. But I am more than willing to jump on the gamification bandwagon if it helps push the boundaries for other marketers and community managers.
Social methods and technologies mesh much better with independent learning, where the student is at the center of the learning experience (learning on their own as opposed to be being taught). They leverage a ring of social, academic, and motivational influences on their way to the goal of knowledge acquisition.
Social methods and technologies mesh much better with independent learning, where the student is at the center of the learning experience (learning on their own as opposed to be being taught). They leverage a ring of social, academic, and motivational influences on their way to the goal of knowledge acquisition.
Workers will also expect their learning to be more personalized and available in a self-service mode so they can get what they want when they want it and where they happen to be. That means Learning professionals need to consider new channels for learning
A great deal has changed since the term eLearning first entered the vocabulary in 1999 and since web-based courses and modules started appearing in volume in the early 2000s. We need to rethink eLearning in light of these changes and other changes (like Social Learning) that are only now starting to impact the world of work. I'm sure most of us are aware that the major challenge for learning is no longer about 'content' or 'knowledge' (if it ever were).
We may not have great filters for content – that's the real challenge - but there is no doubt they will arrive in the next few years. The need now is for other skills such as critical thinking and analysis skills, creative thinking and design skills, networking and collaboration skills, and, across all of these, effective 'find' skills.
A great deal has changed since the term eLearning first entered the vocabulary in 1999 and since web-based courses and modules started appearing in volume in the early 2000s. We need to rethink eLearning in light of these changes and other changes (like Social Learning) that are only now starting to impact the world of work. I'm sure most of us are aware that the major challenge for learning is no longer about 'content' or 'knowledge' (if it ever were).
We feel the need to belong, to form a part of a group who make us feel wanted, and loved and understood. And what better place to do that than the Internet? We're not suggesting you stop going out more often, but there are increasing signs of "like-minded" individuals e-huddling together and carrying out activities which are of common interest, and this is where niche social networking steps in. By targeting a specific audience, a niche social networking site is able to create an automatic bond between people
On Friday, October 14, a group of Semantic thought leaders from around the globe met with their host and colleague, Paul Miller, for the latest installment of the Semantic Link, a monthly podcast covering the world of Semantic Technologies. This episode includes a discussion about schema.org. The Semantic Link panel was joined by special guest, Ramanathan V. Guha, Google Fellow, and one of the principal people behind schema.org.