A new release out of Freebase reports, “When we publicly launched Freebase back in 2007, we thought of it as a ‘Wikipedia for structured data.’ So it shouldn’t be surprising that we’ve been closely watching the Wikimedia Foundation‘s project Wikidata since it launched about two years ago. We believe strongly in a robust community-driven effort to collect and curate structured knowledge about the world, but we now think we can serve that goal best by supporting Wikidata — they’re growing fast, have an active community, and are better-suited to lead an open collaborative knowledge base. So we’ve decided to help transfer the data in Freebase to Wikidata, and in mid-2015 we’ll wind down the Freebase service as a standalone project. Freebase has also supported developer access to the data, so before we retire it, we’ll launch a new API for entity search powered by Google’s Knowledge Graph.” Read more
GlaxoSmithKline is looking for a Laboratory Automation Software Engineer in Collegeville, PA. According to the post, “Science is the bedrock of our success and our scientists are among the world leaders in their fields. If you join the GSK R&D Product Development Future Leaders Program in the US, you’ll be part of a network that enables us to register and launch three to five new medicines each year. Participants in the Product Development Future Leaders Program will be full-time, permanent employees at GSK and will enjoy the same competitive package of salary and benefits as other new starters. In addition, participants will undertake three rotations over three years at the start of their career. These rotations will give participants technical capability across three separate areas of Product Development and allied disciplines.” Read more
Stephen Shankland of CNet recently reported, “Google updated its Hangouts app on Wednesday so the multipurpose communication tool can detect when people are trying to find each other and make it easier to connect. The updated app, available for Google’s Android mobile operating system first but submitted to Apple for approval on iOS, also lets people express themselves with stickers and video filter effects, Bradley Horowitz, vice president of product at Google, said at the LeWeb conference here.”
Serdar Yegulalp of InfoWorld recently wrote, “Over the last year, as part of the new enterprise services that IBM has been pushing on its reinvention, Watson has become less of a “Jeopardy”-winning gimmick and more of a tool. It also remains IBM’s proprietary creation. What are the chances, then, of creating a natural-language machine learning system on the order of Watson, albeit with open source components? To some degree, this has already happened — in part because Watson itself was built in top of existing open source work, and others have been developing similar systems in parallel to Watson. Here’s a look at four such projects.” Read more
Apigee is adding new capabilities to its Edge API digital business platform, including features that could be of use to applications that consume semantic services related to search or entity identification, for example.
Apigee Edge is designed to let companies and developers securely manage their APIs and to measure key metrics from API usage and traffic. Analytics always has been a core part of the platform, especially as it relates to providing real-time data to developers about how their APIs are being used, says Ed Anuff, VP products strategy at Apigee. With the introduction of API Traffic Analytics to the platform, it’s possible to measure metrics such as latency that can affect overall user experiences. “A lot of our customers asked for a better way to visualize that, to measure and view and set alerts to take steps to solve issues when latency is increasing.” says Anuff.
The challenge for developers working with semantic web technologies and processing services, he says, often comes down to making sure that you can deliver responsive results for the applications leveraging them.
“Oftentimes people find that the tradeoff of waiting a longer period of time for best results can be a challenge,” he says. “So the main thing that holds back the introduction of semantic enrichment to queries is making sure you deliver experiences where there is not variable latency.”
IBM is searching for a Watson Research Software Engineer in Yorktown Heights, NY. According to the post, “IBM is seeking a Software Engineer at its Watson Research Lab in Yorktown Heights, NY. This candidate will work on IBM’s cognitive computing effort and help shape the face of the next generation of computing machines. Ideal candidate will have proven analytical abilities and demonstrated programming skills (C++, Java). Background in machine learning, mathematics, machine translation, or natural language processing is preferred. Experience with web technologies, cloud computing, and service oriented architectures a plus.” Read more
Conner Forrest of Tech Republic reports, “AppZen, a Sunnyvale, California-based startup, is leveraging natural language processing and machine learning to automate the expense report process. The company bills itself as an ambient expense manager, and it works in the background by tracking your expenses as they happen and creates a report for you. The process begins with the mobile app that runs on Android or iOS, which is able to track an employee’s calendars, itineraries, and credit card charges to build out an expense report as it happens.” Read more
MODENA, ITALY–(Marketwired – Dec. 11, 2014) – Today, the board of directors of Expert System, a leading developer of semantic software for the effective management of information and big data, listed on the AIM Italia market (organized and managed by Borsa Italiana S.p.A.), has approved subsidiary Expert System Iberia S.L.’s acquisition of the ICM (Intelligent Content Management) and iLab – Research Center Innovation – divisions of iSOCO, an international company based in Barcelona with contacts in South America, specialized in the development of semantic technology based software for the management of unstructured information aimed at a wide variety of industrial sectors, especially banking, government and pharmaceuticals. Read more
The results of the Semantic Web Developer Challenge, co-sponsored by XSB and SemanticWeb.com and launched at this summer’s Semantic Technology and Business Conference, are in: The $5,000 prizewinner was a team of two, Greg Varga and Siraj Bawa, from Vanderbilt University. There were two runners-up: One was a team from Stony Brook University, comprised of Mrinal.Priyadarshi, Anurag Choudhary, and Paul Fodor, and the other was Roman Sova from consulting firm Good Monster.
The aim of the Challenge was to build sourcing and product life cycle management applications leveraging XSB’s PartLink Data Model, which the company developed as a project for the Department of Defense Rapid Innovation Fund. The model uses semantic web technology to create a coherent Linked Data model for all part information in the Department of Defense’s supply chain – which includes about 40 million component parts, their manufacturers and suppliers, materials, technical characteristics and more.
The large collection of engineering product information has potential beyond DoD use alone. “The current size of the Part Link triple store is well over a billion triples — maybe 1.3 billion,” says Alberto Cassola, vp sales and marketing at XSB. “For the industrial sector it may very well be one of the largest efforts of its kind.”
3M is looking for a Software Engineer – NLP in Murray, UT. According to the post, “3M HIS is currently seeking a NLP Software Engineer to work on our internal services platform, which is a framework and user experience for managing Natural Language Processing platform content. This person would provide features and functionality that interacts with a large scale production environment to monitor processing, support questions about performance, prioritize work, and allow editing of content which drives the NLP and coding process.”
Qualifications for the position include: “Bachelor’s Degree in Computer Science. Experience with language processing, machine learning, and medical data. Read more
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