Derrick Harris of GigaOM reports, “When it comes to the future of web content… Yahoo might just have the inside track on innovation. I spoke recently with Ron Brachman, the head of Yahoo Labs, who’s now managing a team of 250 (and growing) researchers around the world. They’re experts in fields such as computational advertising, personalization and human-computer interaction, and they’re all focused on the company’s driving mission of putting the right content in front of the right people at the right time. However, Yahoo Labs’ biggest focus appears to be on machine learning, a discipline that can easily touch nearly every part of a data-driven company like Yahoo. Labs now has a dedicated machine learning group based in New York; some are working on what Brachman calls ‘hardcore science and some theory,’ while others are building a platform that will open up machine learning capabilities across Yahoo’s employee base.” Read more
Sofia, 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
Semantic data integration vendor TopQuadrant’s TopBraid Suite 4.5 just hit the street, a major release that CMO and VP of Professional Services Robert Coyne says “provides a large number of new and enhanced capabilities driven primarily by customers who are using our TopBraid Enterprise Vocabulary Net solution for vocabulary and/or metadata management, or using TopBraid Live to create a custom, model-driven solution.”
The latest version, he says, features more business user and enterprise readiness-motivated improvements than any past major release since Release 4.0, when the current generation of the TopBraid EVN product was first introduced. Many of the enhancements were inspired by requests coming from different customers using TopBraid in different contexts, he notes.
New capabilities in EVN range from improved configurability for the EVN Ontology Editor, via a form builder that allows browser window management and enables users to open multiple view forms, tree and chart windows, to an improved search form that makes it possible to search on cardinalities, regular expressions, aggregates in the search counts and chart results.
Also part of the upgrade is increased support for business stakeholders who need to collaborate on defining and linking enterprise vocabularies, taxonomies and metadata used for information sharing, data integration and search. Features like that reflect the fact that a growing number of enterprise customers and business users are looking to leverage products such as TopBraid EVN, Coyne says.
Healthwise 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
TORONTO, 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
Natasha 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
Cambridge 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
Tim 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
Dominik 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
Solution demonstrates 10x+ the performance while running on 100x the data
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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