Semantic Web Jobs: Healthwise

healthwise-logo_hr_0Healthwise is looking for a Senior Software Engineer in Boise, IA, or to work remotely. The post states, “Your experience and your passion for software engineering and making a profound difference in health care make you an ideal candidate. And Healthwise, a nonprofit organization makes an ideal workplace where you can thrive. Since 1975, the Healthwise mission has been to help people make better health decisions. This mission—combined with our innovative spirit—has led to health education and technological solutions that clinicians use to deliver education as part of care.” This position will “Do real-world work with semantic technologies. (RDF, OWL, SPARQL, etc.) Help others (engineers, qa, execs, etc) understand the promise and power of semantic web technologies. Lead and work alongside the team to develop products and systems that make it easier for health care professionals to deliver health education and make it easier for people to access it.” Read more

Robert Bosch Venture Capital Leads $3.75 million Series A Round for Flybits

fly-300x85TORONTO, Aug. 20, 2014 /CNW/ – Flybits Inc., a Toronto start-up that has created a context-aware experience development platform for mobile environments, has closed a $3.75 million Series A financing. Led by Robert Bosch Venture Capital GmbH (RBVC) and Trellis Capital Corporation with participation from MaRS Investment Accelerator Fund and Ryerson Futures, Inc., the investment will advance the company’s product development and international growth in the United States and Europe.

Since spinning off from Ryerson University in 2012, Flybits has raised a total of $4.05 million to date, including a seed round from MaRS Innovation. Flybits technology has been used in developing smarter cities, connected stadiums, smart corporate campuses, shopping malls, conference venues and even fashion shows. The company also concurrently incubated its technology at the Ryerson Digital Media Zone in Toronto and Vodafone Xone in Redwood City, California. Read more

GetSet Hopes to Reduce Drop-Out Rates with Natural Language Processing

getsetNatasha Lomas of Tech Crunch reports, “GetSet, a new stealthy US edtech startup that’s aiming to reduce the high college drop-out rate is uncloaking today and revealing its first rollout at Arizona State University, with its 10,000+ freshmen. First up, in case you’re feeling a spot of deja vu, last week TechCrunch covered a UK startup called Wambiz that’s taking aim at the same problem. Yes, yes, you wait ages for college drop-out reduction startups and then two come along at once. So it goes. That said, they’re not identical. Wambiz is building an engagement platform cum social network as a better way to reach/engage with students, rather than sending comms via more traditional channels like email and SMS.” Read more

Semantic Web Jobs: Cambridge Semantics

Cambridge SemanticsCambridge Semantics is looking for a Senior Java Engineer in Boston, MA. According to the post, “Cambridge Semantics is seeking a highly skilled outstanding Java Engineer to work on the core of their semantic platform. The successful candidate will be a seasoned java professional with 5+ years of experience. This is an opportunity to join an extremely talented team pioneering Web 3.0 semantic technologies.” This position will “Develop software components and products using Java/J2EE technologies. Responsible for the detail design documentation, development, unit testing and maintenance of internally developed applications.” Read more

Can IBM’s New Smart Chip Think Like a Human?

ibmTim Beyers of The Motley Fool recently wrote, “For years, International Business Machines has been dabbling with what it calls ‘cognitive computing.’ Now the company that brought you the Watson supercomputer believes it has a chip that can think like the human brain. Called TrueNorth, the chip draws on some 5.4 billion interconnected transistors to form a vast network not unlike the neural networks found in the human brain. That’s a potentially massive breakthrough, especially for Internet-connected mobile devices that encounter new data every second. We’re likely to be years away from mass production of the TrueNorth chip. And even then, experts quoted in this article in The New York Times seem to be split on its potential impact.” Read more

Introducing SPARQLGraph, a Platform for Querying Biological Semantic Web Databases

sgDominik Schweiger, Zlatko Trajanoski and Stephan Pabinger recently wrote, “Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way.  Results: SPARQLGraph offers an intuitive drag &drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers.” Read more

SPARQL City’s Benchmark Results Showcase New Possibilities in Enterprise Graph Analytics

Solution demonstrates 10x+ the performance while running on 100x the data

Enterprise meet Graph Analysis - SPARQLcity.comNoSQL Now 2014 & SemTechBiz 2014

San Diego – August 20, 2014 – SPARQL City, which introduced its scalable graph analytic engine to market earlier this year, today announced that it has successfully run the SP2 SPARQL benchmark on 100 times the data volume as other graph solution providers, while still delivering an order of magnitude better performance on average compared to published results.

SPARQL City ran the SP2 Benchmark against 2.5 billion triples/edges on a sixteen node cluster on Amazon EC2. Average query response time for the set of seventeen queries was about 6 seconds, with query 4, the most data intensive query involving the entire dataset taking approximately 34 seconds to run. By comparison, the best reported query 4 result by other graph solution providers has been around 15 seconds, but this is when running against 25 million triples/edges, or 1/100th of the data volume in SPARQL City’s benchmark test. This level of performance, combined with the ability to easily scale out the solution on a cluster when required, makes easy to use interactive graph analytics on very large datasets possible for the first time. Detailed benchmark results can be found on our website.

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Semantic Web Jobs: Mayo Clinic

Mayo Clinic logoThe Mayo Clinic is looking for a Senior Ontologist in Rochester, MN. According to the post, this position will, “Provide leadership in the development, management and implementation of the Mayo Consumer Vocabulary to support navigation systems, search mechanisms, search engine optimization and personalized delivery of health information and services for Mayo Clinic Global Products and Services. Works collaboratively in cross functional teams to assess ontology needs to support product development across the department. Evaluates content domains, conducts content audits and analysis to inform the ongoing development of the Mayo Consumer Vocabulary. Supervises and directs ontology specialists and manages projects requiring substantial intra-organizational coordination.” Read more

Medallia Raises $50M to Decode Customer Sentiment

medGeorge Anders of Forbes reports, “Medallia is $50 million richer, thanks to a new infusion from one of Silicon Valley’s top venture firms: Sequoia Capital. The new money will help the Palo Alto, Calif., customer-insights company expand geographically and tackle one of software’s trickiest challenges: decoding the noisy rumbles of public sentiment. Medallia helps big companies such as  Nordstrom, Best Western, Lego and Telstra figure out what customers really think about various products and services. A generation ago, direct feedback was scarce. Now, if anything, there’s too much of it. Add up everything being expressed on Twitter, Yelp, TripAdvisor, e-mail surveys and old-fashioned comment cards — and company executives can feel as if they’re drowning in too much information that keeps arriving hourly in haphazard form.” Read more

Syapse Selects SYSTAP’s Bigdata® as Semantic Database for Precision Medicine Data Platform

Syapse and BigData logosFor immediate release: 8/19/2014

WASHINGTON, D.C. – SYSTAP, LLC. today announced that Syapse, the leading provider of software for enabling precision medicine, has selected Bigdata® as its backend semantic database. Syapse, which launched the Precision Medicine Data Platform in 2011, will use the Bigdata® database as a key element of their semantic platform. The Syapse Precision Medicine Data Platform integrates medical data, omics data, and biomedical knowledge for use in the clinic. Syapse software is delivered as a cloud-based SaaS, enabling access from anywhere with an internet connection, regular software updates and new features, and online collaboration and delivery of results, with minimal IT resources required. Syapse applications comply with HIPAA/HITECH, and data in the Syapse platform are protected according to industry standards.

Syapse’s Precision Medicine Data Platform features a semantic layer that provides powerful data modeling, query, and integration functionality. According to Syapse CTO and Co-Founder, Tony Loeser, Ph.D., “We have adopted SYSTAP’s graph database, Bigdata®, as our RDF store. Bigdata’s exceptional scalability, query performance, and high-availability architecture make it an enterprise-class foundation for our semantic technology stack.”

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