Posts Tagged ‘database’

Introducing the Sovereign Credit Risk Open Database

Marc Joffe of the OKF reports, “Throughout the Eurozone, credit rating agencies have been under attack for their lack of transparency and for their pro-cyclical sovereign rating actions. In the humble belief that the crowd can outperform the credit rating oracles, we are introducing an open database of historical sovereign risk data. It is available at where community members can both view and edit the data. Once the quality of this data is sufficient, the data set can be used to create unbiased, transparent models of sovereign credit risk. The database contains central government revenue, expenditure, public debt and interest costs from the 19th century through 2011 – along with crisis indicators taken from Reinhart and Rogoff’s public database.” Read more

Algebraix Crushes Previous Performance Benchmark

Algebraix Data recently announced “its SPARQL Server™ RDF database is executing the SP2Bench benchmark more than three times faster than reported in June 2012. The dramatic performance improvement is made possible by an algebraic query optimizer that is able to reuse work performed to answer prior queries. Furthermore, SPARQL Server’s Resource Description Framework (RDF) load performance has improved significantly, loading 384,000 triples per second from one file on a workstation class system. This is more than five times faster than June’s performance and is several times faster than any current vendor published results for loading triples from one file.” Read more

EQL: What Happens When SPARQL Meets SQL

Querying semantic databases isn’t necessarily the most user-friendly thing to do on the planet. Consultancy ABComputing is trying to change that, with its EQL (Entity Query Language) technology.

“We wanted to where possible have it so the syntax was more closely mirrored with SQL than with SPARQL because people understand SQL,” says Martin Bradford, primary developer at the company. “If you build on that knowledge, that helps matters.”

EQL came about from the company’s work on a potential contract that involved semantic technology. Exposure to the world of semantic web technologies and SPARQL in particular led Antonia Bradford, who started the firm a couple of decades ago, to conclude that there had to be a better way of working with RDF data without sacrificing the power inherent in the semantic web.

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Stardog RDF Database Bites Into Fat Part Of The Market

Clark & Parsia’s Stardog lightweight RDF database is moving into release candidate 1.0 mode just in time for next week’s upcoming Semantic Technology & Business Conference in San Francisco next week. The product’s been stable and useable for awhile now, but a 1.0 nomenclature still carries weight with a good number of IT buyers.

The focus for the product, says cofounder and managing principal Kendall Clark, is to be optimized for what he says is the fat part of the market – and that’s not the part that is dealing with a trillion RDF triples. “Most people and organizations don’t need to scale to trillions of anything,” though scaling up, and up, and up, is where most of Clark & Parsia’s competitors have focused their attention, he says. “We’ve seen a significant percentage of what people are doing with semantic technology and most applications are not at a billion triples today.” Take as an example Clark & Parsia’s customer, NASA, which built an expertise location system based on semantic technology that today is still not more than 20 million triples. “You might say that’s a little toy but not if you are at NASA and need defined experts, it is a real, valuable thing and we see this all the time,” he says.

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FindTheBest Distribution Strategy Brings Comparison Engine To Online Content Providers

Comparison engine FindTheBest recently released a widget that can help online content creators integrate its data-driven topic comparisons into their pages. An author writing a story about the accounting profession, for instance, can add a widget that provides a single or multiple-product data view of accounting software, or a ratings chart, with customizable data fields via a widget that can be embedded from its site or an integration with WordPress.

It’s part of the service’s continuing strategy to drive deeper distribution relationships for its curated topic-search engine that recently added more social and more semantic-like capabilities in the way of crowd-sourcing and soft joins of its data sets (see story here). “We help you with suggestions,” says CEO Kevin O’Connor, co-founder of DoubleClick. “Then we add some different info-graphics” – maybe a scatter-gram of all screen sizes vs. price or screen sizes vs. battery life for smart phones, for instance, in a story about, say, Apple’s latest iPhone plans. “That lets you pull in industry wide information very quickly into interesting graphics.”

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IBM Releases DB2 Version 10

Joab Jackson of PC World reports, “IBM has updated its flagship DB2 relational database management software to handle a wider range of data processing duties. The company has also updated its InfoSphere data warehouse software, IBM announced Tuesday.” Bernie Spang, IBM’s director of strategy and marketing for database systems commented, “We believe we’re in a new era of data management. The answer to every data challenge today is not to use a relational database management system. It’s about using the right tool for the right job.” Read more

Meronymy SPARQL Database Server To Debut With Emphasis on High Performance

Coming in June from start-up Meronymy is a new RDF enterprise database management system, the Meronymy SPARQL Database Server. The company, founded by Inge Henriksen, began life because of the need he saw for a high-performance and more scalable RDF database server.

The idea to focus on a database server exclusively oriented to Linked Data and the Semantic Web came as a result of Henriksen’s work over the last decade as an IT consultant implementing many semantic solutions for customers in sectors such as government and education. “One issue that always came up was performance,” he explains, especially when performing more advanced SPARQL queries against triple stores using filters, for example.

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MongoGraph One Ups MongoDB With Semantic Power

MongoDB has been gaining traction: 10gen, which began the MongoDB project and offers commercial MongoDB support services, said that for 2011 there was a 300 percent increase in Fortune 500 enterprise customers. The list included Disney, Viacom, HP and McKesson. The company also noted strong adoption in Europe including Telefonica and The National Archives. In all, 10gen reported that it ended 2011 with more than 400 commercial customers, with numerous large deployments scaling to 1,000 or more servers.

What makes MongoDB appealing to JavaScript programmers working with JSON objects at these and other organizations is its simplicity. If all that’s desired is to have an easy-to-use database where you can add or retrieve JSON objects – the main data type for Javascript developers – it remains an attractive option.

But Franz Inc. proposes an alternative for those who want more sophisticated functionality: Use the semantic power of its AllegroGraph Web 3.0 database to deal with complicated queries, via MongoGraph, a MongoDB API to AllegroGraph technology.

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When it Comes to Data Management on the Semantic Web, HBase has the Edge

Researchers at the University of Texas – Pan American have found that HBase “has the edge in data management for next generation Internet and cloud computing users.” The article states, “An open-source, non-relational database written in Java that can scale to thousands of servers, HBase makes many features of Google’s proprietary, high-performance distributed storage system BigTable available to the programming community. It also features a fail-safe library that runs ‘on top of’ a server cluster — a global architecture that detects and handles failures at the local level before they spread.” Read more

Introducing RIKEN

According to a recent article, “A new lightweight web service interface for accessing massive amounts of life science research data across multiple public and private domains has been developed by researchers at RIKEN, Japan’s flagship research institute. Through the powerful RIKEN Scientists’ Networking System (SciNetS), the service provides a secure, flexible and light weight interface to millions of data records and their network of semantic relationships, ushering in a new era of collaboration, analysis and information-sharing for life science research and applied innovation.” Read more