Posts Tagged ‘cray’

YarcData Software Update Points Out That The Sphere Of Semantic Influence Is Growing

YarcDataRecent updates to YarcData’s software for its Urika analytics appliance reflect the fact that the enterprise is starting to understand the impact that semantic technology has on turning Big Data into actual insights.

The latest update includes integration with more enterprise data discovery tools, including the visualization and business intelligence tools Centrifuge Visual Network Analytics and TIBCO Spotfire, as well as those based on SPARQL and RDF, JDBC, JSON, and Apache Jena. The goal is to streamline the process of getting data in and then being able to provide connectivity to the tools analysts use every day.

As customers see the value of using the appliance to gain business insight, they want to be able to more tightly integrate this technology into wider enterprise workflows and infrastructures, says Ramesh Menon, YarcData vice president, solutions. “Not only do you want data from all different enterprise sources to flow into the appliance easily, but the value of results is enhanced tremendously if the insights and the ability to use those insights are more broadly distributed inside the enterprise,” he says. “Instead of having one analyst write queries on the appliance, 200 analysts can use the appliance without necessarily knowing a lot about the underlying, or semantic, technology. They are able to use the front end or discovery tools they use on daily basis, not have to leave that interface, and still get the benefit of the Ureka appliance.”

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A Look Into Learning SPARQL With Author Bob DuCharme

Cover of Learning SPARQL - Second Edition, by Bob DuCharmeThe second edition of Bob DuCharme’s Learning SPARQL debuted this summer. The Semantic Web Blog connected with DuCharme – who is director of digital media solutions at TopQuadrant, the author of other works including XML: The Annotated Specification, and also a welcome speaker both at the Semantic Technology & Business Conference and our Semantic Web Blog podcasts – to learn more about the latest version of the book.

Semantic Web Blog: In what I believe has been two years since the first edition was published, what have been the most significant changes in the ‘SPARQL space’ – or the semantic web world at large — that make this the right time for an expanded edition of Learning SPARQL?

DuCharme: The key thing is that SPARQL 1.1 is now an actual W3C Recommendation. It was great to see it so widely implemented so early in its development process, which justified the release of the book’s first edition so long before 1.1 was set in stone, but now that it’s a Recommendation we can release an edition of the book that is no longer describing a moving target. Not much in SPARQL has changed since the first edition – the VALUES keyword replaced BINDINGS, with some tweaks, and some property path syntax details changed – but it’s good to know that nothing in 1.1 can change now.

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Helping Autism Researchers, And Others, With Some SPARQL Savvy

One in 50 American children have autism, according to the latest figures released by the Centers for Disease Control and Prevention in March. One of the winners of the YarcData Graph Analytics Challenge, announced in April, can make a difference in better understanding the causes of the disease.

Taking second place in the competition, the work of Adam Lugowski, Dr. John Gilbert, and Kevin Dewesse, of the University of California at Santa Barbara, leveraged a dataset created for the Mayo Clinic Smackdown project, that has the same structure and property types – and scale – as the medical organization’s actual Big Data sets around autism, but which uses publicly available data in place of the real thing. The team can’t use the real data because it includes private information about patients, diagnosis, prescriptions, and the like.

But the actual data deployed for the project doesn’t matter, says Lugowski . “The goal is to find relationships we have never thought of before, and this way it doesn’t prejudice the algorithm,” he says. Using YarcData’s uRIKA graph analytics appliance, the algorithm queries the Smackdown dataset – which in its smallest version has almost 40 million RDF triples and in its largest is about 100 times bigger, mirroring the size of all the Mayo Clinic’s actual autism data – to discover commonalities among the data, mimicking how the real data sets could be queried in search of common precursors among clusters of patients with the diagnosis.

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YarcData Announces Winners of $100,000 Graph Analytics Challenge

YarcData LLC, a Cray company dedicated to providing “Big Data” graph-analytic solutions to enterprises, today announced the winners of the YarcData Graph Analytics Challenge showcasing the increasing applicability and adoption of graph analytics in discovering unknown relationships in Big Data. Submissions included an innovative range of applications across a broad variety of sectors including crime prediction, social science, life science and sports performance. Read more

YarcData Announces Finalists of Graph Analytics Challenge

YarcData has announced the finalists of the company’s Graph Analytics Challenge: “The top six entries for the contest, which features $100,000 in prizes including a $70,000 grand prize for the first place winner, were determined to have entered the best submissions for un-partitionable, Big Data graph problems. The top six submissions span a number of diverse categories, such as healthcare, law enforcement, sports, life sciences and social media.” Read more

Semantic Web Jobs: Cray

Cray is looking for Senior Semantic Web Engineer in Pleasanton, CA. According to the post, “The Knowledge Management Practice at Cray is developing solutions to meet the growing demand of large scale data analysis and mining. We are developing innovative solutions to meet the demands of next generation big data analysis. We have openings for a senior semantic applications developer for building the web 3.0 data mining application stack. The developer will be responsible for  the developing database application software stack.  This position entails: Developing, porting, testing and benchmarking the web 3.0 database application software. Building and maintaining working relationships with technical counterparts at the ISVs, partners, and customers. Sound understanding and experience with RDF.” Read more

Cray spin-off YarcData betting $100,000 on the power of graph data

Early in 2011, I wrote a piece here on SemanticWeb.com which explored the relationship between Semantic Technologies and super-computing’s venerable rock star, Cray. Then, earlier this year, Cray spun out a new division to focus upon exploring massive graph databases; something which should resonate with the semantic technology community. The new division — YarcData — differentiates itself quite clearly from its parent, leading with a data-led proposition and typically operating at quite a different pricepoint to its eye-wateringly expensive parent.

I sat down with YarcData President Arvind Parthasarathi during the Semantic Technology & Business Conference in San Francisco, to get an update on YarcData and to hear why the company is investing $100,000 in prizes for a new ‘Big Data Graph Analytics Challenge.’ Read more

The Semantic Web Has Gone Mainstream! Wanna Bet?

Juan Sequeda photoIn 2005, I started learning about the so-called Semantic Web. It wasn’t till 2008, the same year I started my PhD, that I finally understood what the Semantic Web was really about. At the time, I made a $1000 bet with 3 college buddies that the Semantic Web would be mainstream by the time I finished my PhD. I know I’m going to win! In this post, I will argue why.

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Cray Releases Big Data Appliance, Urika

Timothy Prickett Morgan reports, “Supercomputer maker Cray has released an exotic appliance to help deep-pockets organizations find the relationships hidden in the torrent of information now being collected about, well, everything and everyone. Sometimes you want to Map and Reduce that big data to sift it for some golden nuggets of information, and sometimes you want to take data about people or objects and see how they are connected to each other – or, better still, to see how they might be related, even though there is not a relationship expressed in your data.”

Morgan continues, “The appliance, called Urika… is a combination of open source software to do graph analysis on big data coupled with the fourth generation of Cray’s ‘Threadstorm’ massively threaded processors that has been tuned to do relationship analytics, or what is sometimes called graph analytics. Read more

Semantic Web Jobs: Cray

Cray is looking for a Senior Semantic Web Engineer in Pleasanton, CA. According to the post, “The Knowledge Management Practice at Cray is developing solutions to meet the growing demand of large scale data analysis and mining. We are developing innovative solutions to meet the demands of next generation big data analysis. We have openings for a senior semantic applications developer for building the web 3.0 data mining application stack. The developer will be responsible for the developing database application software stack.  This position entails: Developing, porting, testing and benchmarking the web 3.0 database application software; Building and maintaining working relationships with technical counterparts at the ISVs, partners, and customers; Collaborating with other functional groups within Cray on features related to supporting informatics applications and databases.” Read more

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