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Opportunities emerge from the deep semantic web

Economics is the science of incentives. While the promise of searching a huge store of databases may not sound like Saturday social night at the local drive in burger joint, it does by extension, introduce new incentives.  The new technology will drive people to build databases.  A new generation of entrepreneurs will collect, organize, analyze and create – not information – but data.Database of databases of databasesThe first things entrepreneurs will organize are human knowledge data – starting with their own, then relating it to others. Not unlike the human genome project, the vast human knowledge reservoir will be mapped. Entrepreneurs will enter their communities (on line, neighborhood, work, school, church, social networks) and create a database for what other people know and parse the data in any number of important and useful databases.The reason for this is simple; data are collections of human observations.This is the only thing people are willing to pay forRead more at www.conversationalcurrency.com

Well now that Apple has gone and integrated the most sophisticated piece of AI to ever to see the light of the consumer market into its iPhone 4S, I thought it was time to brush some dirt off of Quora’s shoulder and shine a light on what the future of the company could hold.

Quora’s founders and their first hire—designer Rebekah Cox—created the core of the most impressive “subjective knowledge extraction” machine ever constructed.

By combining an answer voting mechanism and a reward addiction loop (upvotes are crack) with a strict identity requirement and a one-to-many follower model, Quora started solving the problem of extracting high-quality experiential knowledge out of humanity’s collective head and getting it into structured form on the internet. What’s more, Quora is also using humanity’s collective wisdom to rank it.

The initial set of documents from the Skyhook trial (which I analyzed here last week) gave a quick flash of Google's gamesmanship. But examining the larger set of documents from the initial phase of the Skyhook trial against Google is opening a window into Google executives' views on how they sought to reinforce Google's monopoly and collect personal information from its users. These  other batches of documents (see these PDFs here and here from the trial) highlight how Google both recognizes the monopoly nature of location-based services on smartphones and how it can keep extracting private information from users while maintaining a figleaf of "consent." As the New York Times noted in a story over the weekend, the emails flying back-and-forth give an almost minute-by-minute window into the workings of high-tech negotiations-- at least until some legal-aware top managers abruptly killed email exchanges with messages like "Thread-kill and talk to me off-line with any questions."  But in the meantime, we get some quite damning admissions by Google execs on their internal practices.

When Motorola and Samsung announced they were going to use Google-rival Skyhook for their location-based services on their Android smartphones, Google on one hand responded in these internal emails by noting the superiority of Google location information precisely because they were maintaining constant surveillance on customers and local wi-fi spots to update their location maps. "We are constantlyre-mapping through our users, which keeps the data re-refreshed," said one email (see p. 44) or, from another manager, the advantage of "the large volume of device distribution that helps the data collection. (see p. 32) Conversely, the managers bemoan the doom if Skyhook gets the business from manufacturers like Motorola and Samsung and Google loses the ability to spy on customer locations through the smartphones. "It will cut off our ability to continue collecting data to maintain and improve our location database.  If that happens, we can easily wind up in a situation we were in before creating our own location database and that is (a) having no access at all or (b) paying exorbitant costs for access."

Google managers recognize this market as a classic winner-take-all monopoly situation where controlling more devices let's you control more data which in turn gives you such an overwhelming advantage in providing location-based services that manufacturers will have to use your service.  With Android phones beginning to take off strongly in early 2010, who controlled those location-based services would create a tipping point for control into the future.

Through gesture recognition techniques we detect different kind of fingers-touch and associate them with different sounds. In the video we used two different audio synthesis techniques: - physic modelling, which consists in generating the sound by simulating physical laws; - concatenative synthesis (audio mosaicing), in which the sound of the contact microphone is associated with its closest frame present in a sound database. To put it another way, the system is transforming the vibrations transmitted from touch through a rigid body into waveforms that a computer can, in real time, recognize and either transmute into audible sound or use as a triggering mechanism for other sounds. It's an ingenious approach, especially because Zamborlin has made the system clever enough to recognize the sound of particular gestures, so that the interface can accomplish more than just triggering actions when it "hears" a tap.

will touch interfaces of the future rely on sounds as well as capacitance? Perhaps sound would be a cheaper, more-durable option for certain kinds of interfaces, making touch interactions all the more ubiquitous.

RFID tag information can be communicated in real-time to the enterprise database through Wi-Fi, CDMA, GSM or Bluetooth connections associated with PDAs and Smartphones. The SDiD Card allows for safe and secure product and client information storage, updates and processing.

The SDiD Card also supports Near Field Communication (NFC) technology allowing consumers to use their devices to access product and entertainment information, compare prices and perform transactions. Consumers can make contactless payments, redeem coupons and points and receive instant promotions and rewards. NFC is a combination of contactless identification and interconnection technologies developed by Philips and Sony. NFC enables short-range radio frequency (RF) communication between personal electronic devices. The NFC based SDiD Card allows PDA and Smartphone users to access product information or entertainment content such as pictures, music and video clips by waving their mobile devices in front of a smart poster or kiosk. Users can also exchange such information with other users through NFC or mobile connection of their devices.

Wireless Dynamics offers two SDiD Card versions, the SDiD 1010 and the SDiD 1020. The SDiD 1010 is a NFC-based SD Card supports ISO14443A standard, NFCIP-1, Philips MIFARE tag and Sony's FeliCa tag. It is ideal for contactless payment, advertising and promotional applications.

What Ellerdale is now doing with Twitter’s 50 million tweets per day is definitely interesting - the service uses an intelligent data-parsing engine to analyze the context of tweets and the links they contain and combines that with other data sources like RSS feeds and Wikipedia to create a real-time search engine and trends tracker that provides more than just a list of tweets - it provides an understanding of the world’s conversations.The best part about all these new partnerships is that we’re about to see an entirely new way to search the web emerge. For quick real-time results, there will always be the major search engines and their more basic lists of tweets, but for true data analysis, we now have incredible new options like Ellendale and all the others.Within each category are conversation topics and sub-topics.any topical page on Ellendale returns an incredible amount of data. There are summaries provided from sources like Wikipedia, Freebase (an online semantic database),

Face.com has launched the alpha of their new API. Now, almost any site could find faces on photos.Face.com, the company responsible for Facebook applications Photo Tagger and Photo Finder, lets you take any photo and quickly identify who is in it and where they are in the photo. This facial recognition is a boon to those tagging photos, and now Face.com is ready to bring a similar capability to the rest of the internet. May 3rd saw the launch of their new open API capable of scanning images and rapidly identifying the location, orientation, and identity of human faces. The API platform is meant for web designers who want to include a facial recognition feature on their own website. With this API, any company could let you upload a photo of yourself and find other photos of you in their database. Now in alpha testing, registering to try the API is free and very quick. Face.com, operated by Israel-based Vizi Labs, is looking to share the API with the developer community to see if the next killer application for facial recognition will arise organically. Eventually, platforms like this one may help your face become an access point to all the digital data about you on the web.

Read more at singularityhub.com

As the electronic age puts physical bookstores and libraries under increasing threat, Local Books is a great example of how, by encouraging a resurgence of consumer interest at a local level, new technologies can be used to provide a shot in the arm for traditional outlets. Launched in January, it’s a free iPhone app that allows users to search an area for bookstores, libraries and literary events such as readings, book discussions and signings. Local Books is powered by LibraryThing Local—a crowdsourced database of 51,000 bookstores and libraries around the world. Users can search for these “venues” by name or by location. The details provided for venues include maps plus (when available) descriptions, photographs, links, and information about upcoming events at those establishments. Venues and events can be sorted by distance, name, type and date. At present Local Books does not show inventories from bookstores and libraries. We wouldn’t be surprised to see this feature available from them or from someone else in the near future. Could that be you? (Related: Online platform connecting booklovers.) Website: www.librarything.com/blog/2010/01/local-books-iphone-application.php

*Theory mashup of AR and cyborgs.

http://thesocietypages.org/cyborgology/2011/05/09/cyborgs-and-the-augmented-reality-they-inhabit/

*Actually, it’s more of an argument about the definition of Augmented Reality and the definition of Cyborgs, until you can get ‘em to click together like puzzle pieces. But so much debris is left on the floor when they’re done with the theory tin-shears, that the debris looks more interesting than the remainder.

"Facebook has done well with the Friendster patents and patent applications that it acquired. Just last week, a patent application for passing personal info between users based on degrees of separation became public. Now, thanks to the Friendster IP purchase, Facebook pretty much owns the technology for publicly identity-tagging digital media of any sort in a database."

Wal-Mart’s social and mobile plans are starting to take shape only two months after acquiring Kosmix of Mountain View, Calif.

When Kosmix was purchased, it was building a database called the social genome project, which kept track of what people were interested in and what products people were talking about.

the executives say they are hard at work defining how the mega-retailer — with $419 billion in sales and 1.5 billion online visits a year to its Web site — will address the two very disruptive platforms: social and mobile.

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: