Semantic Search

Yummly Partners with Growing Search Engine, DuckDuckGo

Yummly

Amy Gesenhues of Search Engine Land reports, “Yummly announced today it will be powering the results for recipe searches performed on DuckDuckGo, the search engine built on protecting the privacy of its users. ‘Yummly’s technology understands recipe search queries and we’ve worked together to create a great recipe instant answers experience,’ said DuckDuckGo founder and CEO Gabriel Weinberg. According to the announcement, DuckDuckGo is now one of over 4,000 developers and companies currently leveraging Yummly.” Read more

Declara Adds $9 Million To Series A Financing For Global Expansion

Declara

PALO ALTO, Calif., June 11, 2014 /PRNewswire/ — Declara today announced additional Series A financing with $9 million in backing from Singapore’s EDBI and Linden Venture Fund based in Chicago. The new funds bring Declara’s total Series A round, led by GSV Capital, to $25 million.

 

Declara, a company building technology for personalized learning, will use the new funds to broaden its distribution footprint inAsia. In addition to opening an office in Singapore, the company will continue to strengthen its current position in the United States and Latin America. EDBI and Declara plan to collaborate on introducing the Declara platform to Asia.  Read more

Bing Celebrates 5 Years with Search Retrospective

bing

Amy Gesenhues of Search Engine Land reports, “To celebrate its 5th birthday today, Bing has posted a retrospective of the last five years and is offering Bing Reward credit perks for any users who search on the site between now and June 9. Going all the way back to 2009, Microsoft’s search engine outlined its initial goals of leveraging semantic search. Bing noted how it introduced specific verticals (“like Health and Travel”), and offered “left rail categories” to help users drill down into the information they wanted: ‘Searching for Chicago would show you both categories for the city and the band, and only return results that made sense for that category. Later in the year, we built additional vertical experiences that cleanly segregated the mass of web content into understandable and logical experiences, like TV entertainment, Shopping, electronics, and more’.” Read more

Scope Launches SemantiCz™, a Content Enrichment Solution for Better Discovery

scope

A new release out of Scope announces, “Scope e-Knowledge Center (Scope), a leading provider of knowledge services and a Quatrro Global Services company, is pleased to announce the launch of its content enrichment solution SemantiCzTM. Combined with the foundational building blocks of abstracts from the ConSCIse™ platform and ontology from the diSCOver™ platform, SemantiCz will now form a powerful trio of platform-based services from Scope designed to serve as content enrichment and discovery solutions to help publishers and online information providers.” Read more

Cognitive Networks Announces Partnership With Real-Time Metacontent Provider Lingospot

Cog Net

San Francisco, CA (PRWEB) May 20, 2014 — Cognitive Networks, a leading provider of real-time services that power Enhanced TV on Smart TVs, today announced a partnership with metacontent and metadata provider Lingospot. Through its various partnerships with interactive content creation and distribution platforms, app developers, advertisers, TV manufacturers, and content providers, Cognitive Networks has built out a first-of-its-kind Smart TV ecosystem for Enhanced TV. Lingospot is a contextually-aware content recommendation and discovery platform that automatically identifies what’s occurring inside each scene of a TV broadcast and enhances the experience for TV viewers by delivering compelling companion content. The Lingospot partnership will drive deeper engagement, increase programming ratings, add to advertising effectiveness, and provide new ad opportunities on Smart TVs. Read more

Sabre Launches New Developer Portal Improving Access to APIs, Semantic Searches

sabre

Ingrid Lunden of Tech Crunch reports, “A month into its new life as a public company, Sabre is unveiling some new services to raise its profile with developers in a bid to grow its business through third parties. Today the travel data company is launching a new portal, the Sabre Dev Studio, which gives access to some 150 APIs, testing tools, documentation, prototypes and sample code, as well as a new set of APIs focussed on e-commerce and semantic searches. The developer portal — with code mostly developed by Sabre itself, but with the portal built by Mashery — is a first for Sabre: The company says it will be the first time that it’s brought together a lot of these services into one accessible place.” Read more

Dating App Loveflutter Uses Freebase to Get the Upperhand in the Matchmaking Game

loveflutter

Steve O’Hear of Tech Crunch reports, “Online dating startup Loveflutter soft-launched in New York and the UK early last year with a site that aimed to match prospective dates based on shared interests. So far, so like nearly every legacy dating service. But what made the UK company potentially stand out — ignoring the silly launch campaign that required users to pass an ‘interesting’ test before signing up — was its use of Google-owned Freebase, the open database of people, places and things that powered the interest-graph behind Loveflutter’s match-making capability. Harnessing the same underlying semantic technology, Loveflutter is rebooting somewhat today with a mobile-first approach aiming to be a more ‘quirky’ Tinder.” Read more

IBM Watson is Going to the Dermatologist

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Neal Ungerleider of Fast Company reports, “Big Blue wants you to get to know Watson better. And now that means you could soon encounter the super-computer in a most intimate place–your dermatologist’s office. Early last year IBM announced plans to invest $1 billion into its cognitive-computing platform Watson. That money included $100 million in venture capital for companies developing new ways to use Watson. Today IBM reveals that one of the companies they are investing in will bring artificial intelligence into dermatologists’ offices. Modernizing Medicine, a Florida-based firm which produces iPad software for electronic medical record-keeping, is partnering with IBM to integrate Watson into their software package for dermatologists.” Read more

AlchemyAPI Launches Deep Learning API-Based Service, AlchemyVision

Alchemy API

Derrick Harris of GigaOM reports, “Denver-based startup AlchemyAPI is keeping proactive in the world of artificial intelligence, launching on Monday night a new service that lets users perform computer vision tasks such as image-tagging and photo search via API. The product, called AlchemyVision, is the company’s first foray outside the natural-language processing space where it has focused since 2011. It also probably foreshadows a spate of computer vision services yet to come. AlchemyAPI first demonstrated its object recognition service in September but Turner said the company has done a lot of work in the meantime to get it ready for commercial use. Among the big differences is the sheer scale of the new system, which is running unsupervised across millions of online images and using context from the pages they’re housed on in order to determine what they are.” Read more

Enterprise Search Doesn’t Have To Stink

reamyimgaeThere’s one thing that Tom Reamy, chief knowledge architect at KAPS Group, says is a continual refrain among enterprise business users: Search sucks. IT regularly attempts to make things better by buying new search engines and for awhile, everything’s good – until content grows and things start to go downhill again.

Enterprise search, he explained to an audience at this week’s Enterprise Search & Discovery summit, “is never going to be solved by search engine technology” alone. It needs a helping hand from a number of different corners to improve the experience. Good governance and taxonomies can help, for example. But there are challenges in their use, such as the fact that the people who write documents for enterprise repositories can be very creative at avoiding tasks they don’t consider their jobs, such as categorizing documents for others to find during their searches, and even if they’re willing to do it, figuring out what a document is about is a very complex decision.

And, as beautiful a structure as a taxonomy may be to behold, marrying it to millions of documents is itself complex in scale and purpose for both authors and librarians who may have had nothing to do with its creation and so can’t be counted on to apply it well.

Less recognized for the role it can play in rescuing enterprise search is text analytics.

Read more

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