Dick Bourke of Engineering.com recently shared a primer on current search and discovery solutions. He writes, “I’ve written several posts describing Search & Discovery Solutions (SDSs). This post will pull them together in an overview… The core of an SDS is a search engine that indexes and searches a wide range of product data. Search engines operate with an index – an optimized file format that supports rapid data access and display of search results. They usually do not store the complete sources. A search engine must give fast results. For example, one hi-tech manufacturing company reports that search results display in less than two seconds when accessing 16 million items and metadata from within 24 million documents, drawings and images. The usual approach to SDS indexing is based on text values. This is in stark contrast to relational databases that store data in tables, records, attributes and values. What’s more, an index eliminates any need for an intermediate relational database to help with queries.” Read more
PALO ALTO, Calif., April 23, 2014 – Declara, a company focused on developing technology for personal learning, today announced it has closed $16 million in Series A financing led by GSV Capital, with Data Collective, Founders Fund and Catamount Ventures joining the round. The new funding, unveiled at the annual GSV Education Innovation Summit in Scottsdale, Ariz., will be used to scale operations globally and build out the team. As part of the investment, Mark Flynn, co-managing partner of GSV Asset Management, will join the Declara board.
Declara, founded in 2012, is based on the premise that learning happens not only in schools and universities but continues for a lifetime where people need to constantly hone their skills and master new ones. The company builds a technology platform that uses semantic search, predictive analytics and machine learning to surface the right content at the right time for individuals, making learning more personalized and discovery oriented. Read more
According to a new article out of the organization, “The KDE Community is proud to announce the latest major updates to the KDE Applications delivering new features and fixes. Kontact (the personal information manager) has been the subject of intense activity, benefiting from the improvements to KDE’s Semantic Search technology and bringing new features. Document viewer Okular and advanced text editor Kate have gotten interface-related and feature improvements. In the education and game areas, we introduce the new foreign speech trainer Artikulate; Marble (the desktop globe) gets support for Sun, Moon, planets, bicycle routing and nautical miles. Palapeli (the jigsaw puzzle application) has leaped to unprecedented new dimensions and capabilities.” Read more
Sunnyvale, CA (PRWEB) April 17, 2014 — Inbenta, the Semantic Search Engine provider, announces it has closed a $2M Series A funding from a group of investors led by “Amérigo Chile Early Stage and Growth”. Amerigo is an international network of technological Venture Capital funds which forms part of Telefónica’s commitment to boosting technological innovation around the world. Inbenta will use the funds to continue to scale out their A.I. based Semantic Search platform for enterprise customer care solutions while expanding operations worldwide. Read more
NEW YORK–(BUSINESS WIRE)–Vertical Search Works (VSW), the leading semantic search technology company, announced its acquisition of addGloo, a demand-side platform (DSP) focused on integrating real-time semantic analysis with real-time bidding (RTB) for online display advertising. VSW is now in a position to give advertisers a more efficient way to buy, execute and optimize their online campaigns with greater relevance and scale via real-time bidding.
The acquisition supports VSW’s value proposition, which utilizes patented semantic search technology, machine-learning and natural language processing methods to provide relevant content and advertising to users across display, mobile and video advertising channels. Read more
Learning at large-scale. That’s the work Declara is undertaking with its CognitiveGraph platform that leverages semantic search, social platforms and predictive analytics to build context-specific learning pathways for the individuals involved in mass learning efforts. Think, for example, of teachers in a country working to re-educate all its educators, or retail and manufacturing workers in parts of the world who need new skill sets because machines have taken on the work these people used to do.
Adults don’t have the luxury of just being focused on learning, so “we try to help them learn more effectively and quickly, using the CognitiveGraph as a way of knowing where to start from and how to get them to positive outcomes faster,” says co-founder and CEO Ramona Pierson. Its intelligent learning platform will determine what mentors and information exist within a closed private network or on the Web relative to supporting a user’s learning needs; what of all that will be the best fit for a particular user; and then match that learner to the best pathway to acquire the new skills. Among the technologies Declara is leveraging is Elasticsearch (which the Semantic Web Blog discussed most recently here) realtime search and analytics capabilities to turn data into insights.
Amy Plitt of the Daily Traveler reports, “Travel-booking website Skyscanner partnered with 56 experts, including researchers from Google and Microsoft, as well as UK consulting firm The Future Laboratory, to determine what the future of travel might look like. The company released its findings this week, and unsurprisingly, emerging technology will make traveling both easier and more intuitive. The first part of the report focuses on planning and booking trips. According to the experts surveyed, one of the biggest changes will be the development of ‘Digital Travel Buddies,’ virtual companions that will guide you through every step of the process and help you once you’re on your trip. (Think Apple’s Siri, but way better at knowing what you want before you want it.) Read more
Have you checked out the IRS Tax Map this year? If not, what better way to spend April 15 (aside from actually filing those returns, of course).
The IRS Tax Map, as explained here, actually began as a project in 2002, as a prototype to address the business need for improved access to tax law technical information by the agency’s call center workers. These days, Tax Map is available to taxpayers to offer them topic-oriented access to the IRS’s diverse information products, as well. It aims at delivering semantic integration via the Topic Maps international standard (ISO/IEC 13250), grouping information about subjects, including those referred to by diverse names, in a single place.
It was created for the IRS by Infoloom in cooperation with Plexus Scientific and Coolheads Consulting. Infoloom explains on its web site that it lets customers control what is returned by search queries via a topic map approach that lets them extract from existing content information on the topics they need to represent, without having to build a taxonomy of terms, and add specific knowledge to that information as part of the extraction process.
Jeremy Bentley of KMWorld recently wrote, “The age of the Internet has made us accustomed to having all the information we could want readily available at our fingertips – quite literally so, thanks to laptops, tablets, smartphones and other devices… Unfortunately, we rarely experience the same level of data accessibility in our workplaces, where internal information assets can be massive and hugely complex—and not at all easy to access search with the pinpoint precision that is usually required to find a very specific document or piece of content. Addressing this challenge should be high on the priorities list of any organization aiming to extract value efficiently from unstructured content. But it is proving to be no easy task.” Read more
Steve O’Hear of TechCrunch reports, “Dublin-based Seevl has released an API for developers to let them easily add music recommendations and artist data to their apps. The new offering gives app makers access to some of the underlying technology that currently powers the Seevl consumer-facing app, which is a cross-service music discovery offering that gives music recommendations and lets you build ‘mix tapes’, amongst a plethora of music-related features. The Seevl API is powered by the startup’s own music meta-data graph, which itself is built on top of Freebase, Wikipedia and MusicBrainz, and uses Seevl’s in-house semantic technologies and recommendation and search algorithms — both founders, Alexandre Passant and Julie Letierce, previously worked at the renowned Semantic Web R&D lab DERI.” Read more
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