John Trobough of Business 2 Community recently wrote, “From narrowband to broadband, from kilobits to gigabits, from talking people to talking things, the volume of data in the world has reached epic proportions… and it’s only the beginning. Data is entering and leaving enterprises at unprecedented rates, and is often stored and accessed from a range of locations, such as from smartphones and tablets, virtual servers or the cloud. As the Internet has evolved, so has cybersecurity and the need for increased data analytics. Humans can no longer keep up with the data driven world, but machines can. By enabling semantic Web’s automated, continuous machine learning to create context out of interactions and data, security efforts will have continuous visibility and better control over digital assets. This future of machine learning is known as Cyber 3.0.” Read more
Posts Tagged ‘web 3.0’
Charles Silver of Wired recently wrote, “A new battle among the tech titans has begun. What are Google, Facebook, Microsoft, Oracle, IBM and a handful of others fighting over, using vast amounts of money, hardware and top talent as weapons? This battle is over. Who will solve the scalability and performance issues of semantic computing, the data model for Web 3.0 — its arrival has been predicted annually for years but, finally, it’s on the verge. Put another way, which titan will pull off this victory feat: transforming the all-knowing ‘Star Trek’ computer—which could find the answer to any question in the universe at warp speed — from television fantasy to everyday reality.” Read more
David Amerland of Journalism.co.uk recently wrote, “The true effect of any change is measured by the depth of its impact rather than its scale. When it comes to semantic search and the semantic web however, both depth and scale become important. Google has famously announced that semantic search is the transition of search and the web from ‘strings to things’ and ‘websites to people’ respectively. To quantify this change, consider that the web is being transformed from a place where anonymity and unaccountability were virtually synonymous and practically guaranteed, to a place where trust, authority and reputation are the only attributes that really matter.” Read more
As you surely know by now, it’s GeekWeek on YouTube. But in case you haven’t been keeping up with every theme, today is Brainiac Tuesday, its focus on science, education and knowledge – a particularly relevant topic for readers of this blog, we think.
We didn’t see any particularly semantic videos pointed out in the Tuesday Highlights. The recommendation of Wired and YouTube’s “How to Make a Giant Robot Mech” fed some hopes, but looks like the big guy owes his smarts to a human pilot rather than artificial intelligence.
That’s not to say there isn’t good stuff among the pickings. Steve Spangler’s Favorite Experiments is a kick, for instance. And who knew that a volcano caused the French Revolution? But we’d like to hear it for semantic web, tech and related videos, too, on this Brainiac day.
To that end, here are a few of our own recommendations:
- TED Talks: Tim Berners-Lee: The Next Web of Open, Linked Data. OK, it’s a gimme that at least one TBL video is going to be on this list (two if you count the Goat Edition of this particular talk). But if you want to get a good grounding in the semantic web, you’ve got to start at a key source.
One of the exciting things about being a semantic technologist is the opportunity to be in on the ground floor of things as companies revamp, revise, and renew their infrastructures for the Web 3.0 world.
That’s the position that Keith DeWeese finds himself in. DeWeese recently moved from The Tribune Company, where he led efforts in applying semantic technology to the publisher’s content (see story here), to Ascend Learning, a company that provides technology-based education products with a focus on the healthcare sector.
There, as principal content architect he is again championing the power of semantic technology for online content. “What’s cool is that Ascend is in a state of redefining what it does, how it works, its whole platform,” DeWeese says. Ascend wants to be able to take people from the beginning stages of their career, when they’re learning the basics, and work with them throughout their life, so that as they progress in their careers and become more knowledgeable about their profession or specialization and work toward different exams, it’s got the tools to engage with them at that part of their lifecycle.
“It’s really great because there’s an openness and willingness to try different approaches to making content available to end users.”
Grace Nasri of the Huffington Post recently discussed how the Semantic Web is creating a push toward greater data mapping. She writes, “Web 2.0 has been largely about social sharing, collaboration and user-generated content — contributing to a more detailed web of information. But much of the information presented throughout the Web until recently has tended to be isolated content lacking relevant and dynamic context about how entities — including people, objects, interests, locations, events or decisions — are connected. As we move towards Web 3.0 and the Semantic Web — characterized by related, contextualized and personalized data — there’s a growing push for more robust context and relationship mapping. Several companies, from search engines to social networks, have already begun mapping and graphing the way their customers use, interact with and understand data.” Read more
A recent report asked the question, is the future of sharing the Semantic Web? The abstract states, “Current information sharing is based mostly on using so-called Web 1.0 search tools and Web 2.0 tools such as social media to collect and display data and information on the Web and make it easier for people to access. The next generation of Web technologies — collectively called the Semantic Web — will move sharing into the era of Web 3.0.”
It goes on, “Semantic Web technologies are already used in government sites such as Data.gov and Recovery.gov, which are part of the Obama administration’s push for open government. Read more
James Stevenson has shared his insights regarding the humanization of computing. He writes, “When Nicolaus Copernicus established that the earth moves around the sun he transformed our understanding of the solar system. The rise in digital devices such as PCs, laptops and smartphones, that we use to access personal and corporate information on a daily basis is having a similar impact on our expectations of computing, and has revolutionised the way we live our lives. We are now at a stage when IT is beginning to blend into the background and technology is everywhere.”
He continues, “The availability of omniscient network connections means that we are ‘always online’ and constantly connected to knowledge, people and things… We now live in a networked economy where we revolve around data that is accessed through a variety of digital devices held together by the web and available on demand. Read more
David Hunter Tow has made a number of predictions regarding the future of the internet. He predicts “that within the next decade the Internet and Web may be at risk of splitting into a number of separate entities- fragmenting under technological, national, business and social pressures. In its place may emerge a network of networks – continuously morphing- linking and fragmenting, with no central dominant domain backbone; instead a disconnected, random structure of networks with information channeled through uncoordinated switching stations and content hubs, controlled by a range of geopolitical, social and enterprise interests.” Read more
Researchers at the University of Texas – Pan American have found that HBase “has the edge in data management for next generation Internet and cloud computing users.” The article states, “An open-source, non-relational database written in Java that can scale to thousands of servers, HBase makes many features of Google’s proprietary, high-performance distributed storage system BigTable available to the programming community. It also features a fail-safe library that runs ‘on top of’ a server cluster — a global architecture that detects and handles failures at the local level before they spread.” Read more
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