We end 2011 with a thought for the year ahead – innovation and education! The past year has seen us exploring how today’s experiments with the semantic web are move the web into its 3.0 phases. And now that we know what it is & what it’s capable of, it’s time to use the semantic web well! Lorna Siggins and Michael McAleer show us that the key to all successful innovation is identifying a problem and attempting to solve it; lessons from the Innovation Roadshow. Meanwhile, Nicolas Bry reports from a meaningful conference on the world of Intelligent Things, Danica Radovanovic on the importance of internet education, and Eric Barroca shows us new solutions and possibilities in business intelligence.
Each week we bring you the most thought-provoking news on how the semantic web is changing the way web users discover, interact and exchange online.
We hope you find the links useful, and if you’d like us to cover any particular aspect of the semantic web in the comments box below.
On the Road to Innovation – Irish Times
Innovation is an individual pursuit not best suited to teams or committees, where the character of those involved is often as important to its success as the idea itself. The key roadmap to all successful innovation remains identifying a problem and attempting to solve it. These were some of the key lessons from the series of Innovation Cities Roadshow events organised by Innovation magazine in association with several leading innovative partners this autumn. Commenting on social media and future technology trends, he said some 90 per cent of data in the world today has been created in the last two years, according to IBM. Open data sets with more than 25 billion facts, interspersed by 400 million typed links, are doubling every 10 months alone, Dr Decker pointed out. However, millions of different information sources are of limited value without interconnections which can help to solve key global challenges, such as climate change, Dr Decker said. He outlined DERI’s work on the semantic web, which provides a common framework for sharing, reusing and “adding value” to digital information.
When Intelligent Things meets with Social Innovation – Innovation Excellence
At Netexplo conference, I was not far from hearing: “Let them hack your innovation!."
The global overview is that Intelligent Things become clever when they operate socially and entice collective intelligence, capturing data from various individual sources to compile them, and display the results back to the community.
Digital Divide and Social Media: Connectivity Doesn’t End the Digital Divide, Skills Do - Scientific American
Whether we like it or not, we live in a very unequal and stratified world. We live in societies in which inequality is ignored in education, science, and in the social media. As Internet technologies are rapidly evolving and new digital divides on the Internet emerge, we must move beyond, at some point, a singular concern over Internet access and technological infrastructure issues. We must tackle socio-cultural differences, we must focus on Internet skills, literacies and social media usage. As we live in an Information Society determined by a “filter Bubble”, with the vast majority of Internet and Web services moving toward the next generation of the Semantic web, access to knowledge and its deployment in everyday work and education is crucial for producing the results and fostering the competence of scientists, scholars and knowledge workers. Access to information is the key to an individual’s position in society, though access is not everything; it is only the starting point in many countries and societies as the power structures of society and academia remain.
Big Data and smart content: New challenges for content management applications – Fierce Content Management
Content is getting bigger--way bigger--and this is scary to many technologists. At the same time, it's also getting smarter, bringing more complexity and sophistication to applications, but also more options to information and enterprise architects. How will these changes impact content management technologies? For years, relational databases have been developed based on real business requirements, and the same is true for web application frameworks and content management systems. They have all implemented functionalities for specific use cases that are all still valid, but are simply evolving. In fact, such a disruptive phenomenon as Big Data or the new semantic technology on the scene are huge opportunities for enterprise content management solutions. They are bringing new solutions and possibilities in business intelligence, semantic text analysis, data warehousing and caching that require integration into existing content-centric applications, all without rewriting them.