Semantic Search

How Andrew Ng is Monetizing Deep Learning at Baidu

Baidu logoCade Metz of Wired recently wrote, “Deep learning can do many things. Tapping the power of hundreds or even thousands of computers, this new breed of artificial intelligence can help Facebook recognize people, words, and objects that appear in digital photos. It can help Google understand what you’re saying when you bark commands into an Android phone. And it can help Baidu boost the bottom line. The Chinese web giant now uses deep learning to target ads on its online services, and according to Andrew Ng—who helped launch the deep learning operation at Google and now oversees research and development at Baidu—the company has seen a notable increase in revenue as a result. ‘It’s used very successfully in advertising,’ he says, sitting inside the company’s U.S. R&D center in Sunnyvale, California. ‘We have not released revenue numbers on the specific impact, but it is significant’.” Read more

New Partnership Marries Relational Database Querying, Services With Full Text Search

splice-machine-logo-300pxSingular Hadoop RDBMS provider Splice Machine and LucidWorks have entered into a partnership that enables the former’s customers to access and analyze their unstructured data via LucidWorks Search. Splice Machine customers will license one of the industry’s leading offerings of Apache Lucene/Solr separately, but the companies have proved and certified the integration layer that makes full-text, Google-like search on the relational database platform possible.

lworks“Text searching has really come a long way in recent years with platforms like Lucene/Solr,” says Monte Zweben, CEO and co-founder of Splice Machine. “With this relationship you get the best of both worlds – relational database querying and services with full text search.”

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Expert System and WAND Partner for a More Effective Management of Enterprise Information

Expert System LogoBARRINGTON, ILLINOIS–(Marketwired – Oct. 7, 2014) – Expert System US, Inc., a leader in semantic technology, and WAND, Inc, the leader in the development of enterprise taxonomies, today announced a partnership that will enable businesses to implement a simpler, more accurate organization of data and documents.

Making internal and external information more “findable” allows enterprises to be more innovative, to manage the relationships with their customers more effectively and to minimize operational risks. In summary, to make them more competitive. Expert System and WAND will increase the findability of information by effectively integrating the three most important steps in the content management process: Read more

Looking for Song Lyrics? Bing Now Shows Them in Search Results

bingMatt McGee of Search Engine Land reports, “While SEOs debate Google’s recent addition of structured data in its search results, Bing is making a similar — and perhaps more significant — change to its search results: Full song lyrics are now showing on Bing’s search results page in the US, and Bing says it plans to expand this outside the US in a matter of months. Bing says this is available now for more than 500,000 songs and more will be added. If you want to see it in action, Bing gives the example of In The End by Linkin Park. You can also see Led Zeppelin’s Stairway To Heaven,Roar by Katy Perry and so forth.” Read more

IBM Watson Chief Mike Rhodin on What Watson Has Taught IBM

WatsonBarb Darrow of GigaOM recently wrote, “IBM’s Watson natural language query/cognitive computing prodigy was a huge PR coup for Big Blue. Three years ago, Watson defeated Jeopardy champ Ken Jennings on national TV and beat other challengers like a drum on a subsequent victory tour. (Ask Gigaom’s own Stacey Higginbotham about that sometime.) IBM rode that wave for years to show that despite its woes, it can still do really hard stuff. IBM wants Watson to be a $10 billion business by 2023. But, unfortunately for IBM, there is ‘not a lot of commercial application to playing Jeopardy,’ Mike Rhodin, IBM SVP for Watson, acknowledged at Emtech 2014 at MIT on Tuesday.IBM invested untold millions in Watson, so it’s now time for Watson to, in the tortured words of another Emtech presenter, become ‘a market-based solution’.” Read more

Google’s Knowledge Graph Now Mines Facts from Data Tables

Google HummingbirdJosh Ong of The Next Web reports, “Google today revealed details behind a new search feature called Structured Snippets that displays information pulled from data tables on webpages. The feature actually began rolling out last month, but the company’s research team explained the technology in a post today. The search engine has been progressively adding new information through its Knowledge Graph database. This latest feature adds more data below the snippets of text in a search query.” Read more

French Startup Sépage Says the Future of the Web is Semantic

sepageJack Flanagan of Real Business reports, “The future of the web is semantic – at least according to French tech startup Sépage, which specialises in semantic technologies for travel websites. However the little known, little understood technology is still crossing the distance between science and business. Real Business sought comment from Sépage on what this is, and how they’ve built it. Sepage told Real Business, “We believe the potential is immense. Most of today’s digital marketing approaches aren’t actually personalised, even though that’s what they claim ; comparing your basket to thousands of others and cluster you in groups of ‘similar individuals’ can’t really be called personalisation.” Read more

Google, Jetpac, and Deep Learning

jetpacChristian de Looper of TechTimes recently wrote, “Google is buying Jetpac Inc., an business that makes city guides using publicly available Instragram photos. Using that data, Jetpac determines things like the happiest city… Jetpac essentially algorithmically scans users Instagram photos to generate lists like ‘10 Scenic Hikes’ which can be very handy for those travelling in a city they’ve never been to before. Jetpac has created a total of around 6,000 city guides. Not only that, but the app also puts users’ knowledge of cities to the test in a number of quizzes” Read more

Ontotext Improves Its RDF Triplestore, GraphDB™ 6.0

ontotextSofia, Bulgaria (PRWEB) August 20, 2014 – GraphDB™ 6.0 from Ontotext was released today including improvements to the enterprise replication cluster, faster loading speeds, higher update rates and connectors for Lucene, SOLR and Elasticsearch. This release happens to coincide with a name change for this high performance triplestore – GraphDB™ was formerly known as OWLIM. Now, organizations interested in deploying the only mature enterprise resilient RDF triplestore will also benefit from advanced search functionality using the best full-text search engines without additional integration and synchronization efforts. Read more

Famo.us Raises $25M to Help Users Make Apps with JavaScript

fam-300x234Kara Swisher reports on Recode, “Famo.us, an unusual programming startup that allows users to make nifty mobile apps using JavaScript, has raised $25 million in additional funding and added high-profile investor Jerry Murdock to its board. The new round comes after two others — one for $1.1 million and another for $4 million. About $20 million of the new round is in exchange for equity, while $5 million is debt. Along with Murdock — whose investments via Insight Venture Partners have included Nest, Flipboard and Twitter — Samsung Ventures and Javelin Venture Partners are also participating, the company said. The San Francisco-based company is aimed at using JavaScript, the sometimes disrespected programming language, to create a product that is easy to use by a range of developers, even non-techies. To help promulgate that, Famo.us also offers a free online ‘university’ where anyone can learn to program using its tools.” Read more

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