Group items tagged

Sparks are a very simple taxonomy right now, but do have persistent URIs, which you can find by hovering over a Spark and looking in the left of the status bar at the bottom of your screen.

This warrants more dissecting and attention. Will they eventually use all or some of the hierarchy of Google Directory? Will they become hierarchical? Will the algorithm improve as we click on links that interest us? Can we add our own information? Are we creating new entities for Google as we search for and add Sparks to our items of interest – it seems that way. It’s not an ontology yet, but it’s a start. Lots of people creating persistent URIs for entities they’ve dreamed up – I hear that evil cackle again!

Google, by nature of its founding, is in a prime position to address the challenges that many enterprise technologists have when thinking about semantic data – how do we handle unstructured data? We have metadata: in schema, in taxonomies, in ontologies even. We have loads of content. With no metadata. How do we get them together? We can’t afford to hire a small army of indexers to apply the metadata to the content. The system metadata is insufficient and poor. We have a pretty good search tool, and have put some effort into data dictionaries, entity extraction and rules-based classification. We have tools that do latent semantic indexing and latent semantic analysis.  Make sense of unstructured information? Sure, Google can do that. Hopefully they will not reduce efforts in these areas too much to focus on other projects. Many of us can execute a search and return nothing useful; crowdsourcing tagging in G+ may re-vitalize  components of the search algorithm.

Smartphones are addictive, according to a study from the British telecom regulator Ofcom, which, like many other studies on the topic, emphasizes that people do things like using handsets in bathrooms in lieu of talking to their children and points out how they are changing social behavior. The press release on the research, issued Thursday, uses the word addiction in a variety of forms five times, including when it says 37 percent of adults and 60 percent of teens admit they are “highly addicted” to the devices.

In a blog post on its site, the brains at Experian Hitwise claim startling information: there is one subsection of society where Google+ is gaining affection.

This subsection might be described as "miserable married people, stuck at home in the 'burbs with children." Naturally, Experian Hitwise doesn't describe them that way. It calls them the "Kids and Cabernet" group--"prosperous, middle-aged married couples living child-focused lives in affluent suburbs."

The study contrasts another societal subgroup--"Colleges and Cafes"--which appears to be gaining some disaffection for Google's new social-networking foray.

With the goal of creating a more powerful “prediction engine,” for forecasting everything from the price of gas in the U.S. to the nuclear capabilities of Iran, Stone’s research team is looking for individuals to contribute their knowledge in topic areas such as politics, the military, economics, science and technology, and social affairs. “This kind of enhanced predictive analysis capability will help the intelligence community provide early warning and leading indicators of events,” said Stone, who has published studies on the nature of expertise and how to make well-calibrated, non-overconfident judgments. “The idea is to combine individual judgments from a lot of people who all know a little to provide a tremendous amount of information.  Unlike the current process, our procedure captures, shares and combines expert opinions in a manner to make forecasts as accurate as possible.” The ACES process provides opportunities for anonymous sharing and deliberating before making forecasts and will provide participants feedback on their contributions and predictive successes.

According to ACES Principal Investigator Dr. Dirk Warnaar, “Some people know important details that can make the future predictable in many cases. They often do not share their insight with others. Our project is designed to find out what people know, have them share this knowledge with others, and ask them to make a prediction based on what they and others know.”

Did you know that nearly 40 percent of all tweets come from a mobile device? Nearly 56 percent of Twitter users are women and 70 percent of Twitter accounts are based outside of the US. These and more fun Twitter facts can be found this infographic created by Touch Agency. via and via

Geofencing: As long as you're here ... One of the promises of mobile advertising — at least from the merchant's perspective — has been the potential to advertise to customers when they're near your store and can act immediately (and impulsively) on your offer. To make these location-triggered offers, merchants need to delineate a "geofence" around their retail outlets — a radius or polygonal area in which customers who have opted into a deal program can be notified on their mobiles that an offer is available nearby. Indeed, Groupon is working on adding such location-based deals to its daily offers, according to a letter sent from its general counsel David Schellhase to two U.S. Representatives who were asking about Groupon's privacy policies.

By some measures, 90% of all texts are opened within three minutes of receiving them.

Goodman said that location-triggered delivery is highly effective with "exceedingly high" response rates: between 11% and 60% of users are likely to visit a store when pinged with an offer if they're nearby, and up to 46% are likely to make a purchase.

UW researchers say this new type of transistor could one day understand or even control body functions.

Materials scientists are looking at these proton-based microscopic transistors for future advances in prosthetics and biological sensing.

In the body, protons activate “on” and “off” switches and are key players in biological energy transfer. Ions open and close channels in the cell membrane to pump things in and out of the cell. Animals, including humans, use ions to flex their muscles and transmit brain signals. A machine that was compatible with a living system in this way could, in the short term, monitor such processes. Someday it could generate proton currents to control certain functions directly.

In a matter of hours, Facebook is going to host f8, its annual developer conference.

My sources are telling me that the company is going to make some sort of announcement around NFC technologies at the event as well.

The Places product will have some NFC elements built into them, and the social network is working closely with some hardware vendors.

Turning to the crowd has proven pretty popular with security types. In-Q-Tel, the CIA’s venture capital arm, recently began work on a prediction market aimed at forecasting computer security events. Darpa, the nerd cousin of Iarpa over at the Defense Department, tucked away some cash in its budget last year to farm intelligence, surveillance and reconnaissance data out to the crowd in search of better analysis. The Navy has even turned to crowdsourcing via online multiplayer games in order to hunt for better ideas against piracy.

A 2009 analysis from Juniper Research (News –Alert) of the $110bn NFC opportunity forecasted that one in every six mobile subscribers (about 17 percent) globally will have an NFC enabled device by 2014. Adoption was expected to be highest in the Far East,with use very limited outside of that region.

By 2014,Juniper now predicts that North America will account for just under half of NFC smartphones,followed by Western Europe.

The latest forecast from Juniper Research suggests that at least 20 percent of smartphones will support NFC by 2014,about 300 million phones.

How could Google, the high priest of the cloud and the parent of Android, analytics and AdWords/AdSense, not be a standard-setter for platform creation?

Amazon's strategy seems to be to embrace "open" Android and use it to make a platform that's proprietary to Amazon, that's a heck of a story to watch unfold in the months ahead. Even more so, knowing that Amazon has serious platform mojo.

Case in point, what company other than Apple could have executed something even remotely as rich and well-integrated as the simultaneous release of iOS 5, iCloud and iPhone 4S, the latter of which sold four million units in its first weekend of availability?

LocalResponse, a new startup in the social media mobile ad space, is using semantic analysis to capitalize on real-time social data: “LocalResponse was born out of the ashes of Buzzd, a city guide that mashed up Foursquare and Twitter to help users find local hotspots. Founder Nihal Mehta learned a valuable lesson in defeat, and this week raised a $5 million round… Buzzd was a consumer facing platform, but failed to attract enough users. LocalResponse, by contrast, take the massive amount of public data being shared on Facebook, Twitter and Foursquare, and turns that into ad inventory.”

As social media and social networks become a larger part of our online lives, the race to become the default identity platform for the social web continues to intensify, with Facebook, Twitter and Google all hoping to control — and profit from — the ways that users connect to various services. Although Facebook and Google both have massive resources to deploy in this battle, venture capitalist Mark Suster of GRP Partners argues that Twitter stands the best chance of becoming the go-to identity player for many users, and there are some pretty compelling reasons to believe he’s right.

While Facebook recently added an asymmetric feature called “Subscribe,” Suster says that Twitter is still the preferred network for this kind of behavior, and I think he is probably right: So it is now very common for news organizations to announce on the air, “to follow my updates please follow me on Twitter at @myname. Twitter has become one of our major online identities and that is becoming mainstream in ways that people aren’t really talking about. Nearly every day now I see public figures telling people their Twitter identity instead of Facebook, email or other forms of identity.

To take just one recent example, a Mexican soccer team put the Twitter handles of all of its players (and of the team itself) on the backs of their jerseys instead of their actual names, to make it easier for fans to tweet about them during games.

Cloudera founder Christophe Bisciglia launched a new company today called Odiago, whose WibiData product utilizes Hadoop and HBase to let businesses make the most of online user data. The details around investors (Eric Schmidt, Mike Olson and SV Angel) and Bisciglia’s history at Cloudera and Google have made the rounds already, but what’s not as widely known is how WibiData actually works.

Here’s how Monash describes the essence of WibiData: WibiData is designed for management of, investigative analytics on, and operational analytics on consumer internet data, the main examples of which are web site traffic and personalization and their analogues for games and/or mobile devices. The core WibiData technology, built on HBase and Hadoop,* is a data management and analytic execution layer. That’s where the secret sauce resides. Also included are:

Mobile handsets have a bad habit of oversharing with the networks they operate on, with some handsets being chattier than others. This signaling data, as it’s known in the industry, can congest mobile networks, and Traffix Systems, a six-year-old Israeli company wants to help operators solve that problem.

The company said Wednesday that it raised a first round of $7 million led by Bessemer Venture Partners to help it expand operations. Ben Volkow, the CEO, says that 60 percent of operators already have some Traffix gear on their networks to address and manage signaling traffic, but more operators are interested. As more operators began deploying LTE networks, which add to the complexity of signaling traffic and to the overall network, Volkow decided that his previous strategy of growing the business through bootstrapping it no longer made sense. “We needed to scale and grow the business,” he said in an interview.

Signaling traffic is the data the phone or device sends out to the network to tell it where it is, what is it is doing, how much it is allowed to do based on the subscriber’s plan and figure out when to hop to the next base station. Chetan Sharma, a wireless analyst, issued a report last year noting that network congestion is generally caused by two big things: (1) signaling traffic caused by smartphones and superphones and (2) peak data traffic caused by data cards and embedded laptops.