Jim Edwards of Business Insider recently speculated on Apple’s acquisition of Topsy Labs earlier this week. Edwards writes, “Why would the maker of iPads and iPhones need a small company that culls data from Twitter? The likely answer is that Apple needs help with something that is as old as the Internet itself: search. For most people, ‘search’ stopped being sexy more than 10 years ago, when Google proved that its search engine was pretty much the only one you needed. But Apple just dropped $US200 million on Topsy, likely in hopes of using Topsy’s data to improve recommendations when people search for apps and stuff in iTunes and the App Store.” Read more
Posts Tagged ‘Facebook’
A new survey is just out reporting on how people are using Facebook. Just over 300 users were randomly selected by Stone Temple Consulting to gain some insight into Facebook feature awareness.
While not a definitive study (nor is it touted as one), one finding of interest to Semantic Web Blog readers is this: Below one-third of users have even heard of Graph Search, its functional semantic search engine for discovering relationships between entities in users’ networks of friends. It’s recently expanded from enabling queries around people, places, photos and interests culled from people’s profiles or pages (books your friends liked, for instance, or photos they took in San Francisco) to include searches of status updates, photo captions, check-ins and comments. Of those who do know what Graph Search is, just over one-third said that they had used it.
It’s got to be a happy Thanksgiving for a number of tech companies that made their way to Deloitte’s recently-released Technology Fast 500. The 2013 ranking of the fastest-growing tech companies based in North America also has something to show for anyone who’s doubted that there’s money to be made taking advantage of semantic and other Web 3.0 concepts, a look at the list should show it’s time for the doubting to stop.
Have a look at some of the winners with their overall rankings:
#2 Acquia. Drupal claims the title of being the first mainstream content management system to support semantic web technology in its core. The Drupal-powered project Acquia was co-founded by Drupal creator Dries Buytaert to provide cloud, SaaS, and other services to organizations building websites on Drupal – and has on staff software engineer Stéphane Corlosquet, who had a big hand in bringing those semantic capabilities to Drupal’s core. In fact, Corlosquet spoke at the most recent SemTechBiz about Acquia as an example of a Drupal-powered project managing its content as Linked Data.
Nara is officially on its way from being solely a consumer-lifestyle brand – with its neural networking technology helping users find dining and hotel experiences that match their tastes – to also being the power behind other companies’ recommendation and curation offerings. This summer it made a deal with Singapore Communications’ Singtel Digital Life Division to use its technology to help their users hone in on personalized eating options, and today that online food and dining guide, HungryGoWhereMalysia, goes live.
But Singtel won’t be the only outside party to plug into Nara’s backbone, as the company today also is announcing that it is licensing its capabilities to other parties interested in leveraging them. “An enterprise can plug into our neural network in the cloud through our API,” says CEO Tom Copeman, accessing its smarts for analyzing and then personalizing tons of data from anywhere on the web, tailored to the type of service they’d like to offer.
HungryGoWhereMalaysia, for example, is much like Nara for personalized restaurant discovery here in the states, except culturally branded to their markets; local consumers will get tailored list of dining recommendations from over 35,000 restaurants throughout the country, and as the service gets to know them better, suggestions will be more finely honed to match their Digital DNA profiles. “We believe we’re the first in computer science to receive third-party data from outside sources through our API into our neural network, to make the calculations and comparisons, and send back down a more organized, personalized and targeted selections based on individual preferences.”
Bianca Bosker of the Huffington Post reports, “Facebook’s new AI team made 1.2 trillion comments and status updates searchable. Our more than 1 trillion social connections can now also be mined with queries like, ‘friends of friends who are single in San Francisco.’ On Wednesday, Zuckerberg made clear these kinds of cute searches are just the appetizer. He wants people to be able to ‘easily ask any question to Facebook and get it answered.’ (Emphasis added.) This first requires getting to know us better. Read more
This week marked the public launch of seevl.fm.
SemanticWeb.com has tracked seevl’s development through various incarnations, including a YouTube plugin and as a service for users of Deezer (available as a Deezer app). This week’s development, however, sees the service emerge as a stand-alone, cross-browser, cross-platform, mobile-ready service; a service that is free and allows for unlimited search and discovery. So, what can one do with seevl?
Following the death of Lou Reed this week, I (not surprisingly) saw mentions of the artist skyrocket across my social networks. People were sharing memories and seeking information — album and song titles, lyrics, biographies, who influenced Reed, who Reed influenced, and a lot of people simply wanted to listen to Reed’s music. A quick look at the seevl.fm listing for Lou Reed shows a wealth of information including a music player pre-populated with some of the artist’s greatest hits.
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
Megan Marrs of WordStream reports, “Facebook Graph Search first launched in March 2013, allowing users to search for people, photos, places, and interests within the Facebook search engine. Facebook Graph Search provides custom search results based on your own personal data, including information in the profiles of your friends. As you type a search query, Facebook Graph Search auto-completes the query, suggesting friendships through existing connections, Facebook pages, and apps, before finally providing web results. In recent months, Facebook developers have made Graph Search even more powerful, now capable of providing results on searches for: status updates, photo captions, comments, check-ins. The updated Facebook Graph Search can also search for posts from a specific place or time period.” Read more
Next week Hadoop World takes place in New York City. The big event follows on the heels of the official gold release last week of Apache Hadoop 2.0, which significantly overhauls the MapReduce programming model for processing large data sets with a parallel, distributed algorithm on a cluster.
Sitting on top of the Hadoop Distributed File System (HDFS), YARN (Yet-Another-Resource-Negotiator) is meant to perform as a large-scale, distributed operating system for big data applications. Multiple apps can now run at the same time in Hadoop, with the global ResourceManager and NodeManager providing a generic system for managing the applications in a distributed way.
Among the YARN-ready applications is Apache Giraph, an iterative graph processing system built for high scalability – and the programming framework that helps Facebook with its Graph Search service of connections across friends, subscriptions, and so on, providing the means for it to express a wide range of graph algorithms in a simple way and scale them to massive datasets. Facebook explained in a post in August that it had modified and used Giraph to analyze a trillion edges, or connections between different entities, in under four minutes.
On September 30th, Facebook reported, “Starting today, Graph Search will include posts and status updates. Now you will be able to search for status updates, photo captions, check-ins and comments to find things shared with you. Search for the topics you’re interested in and see what your friends are saying, like ‘Dancing with the Stars’ or ‘Posts about Dancing with the Stars by my friends.’ … As with other things in Graph Search, you can only see content that has been shared with you, including posts shared publicly by people you are not friends with. Use privacy shortcuts and Activity Log to review who can see the things you share.” Read more
NEXT PAGE >>