We are proud to announce the Ontology2 Edition of DBpedia on the AWS Marketplace, available at
https://aws.amazon.com/marketplace/pp/B01HMUNH4Q/ this product is a combination of Ubuntu Linux, OpenLink Virtuoso Open Source Edition and data from DBpedia 2016-04 with carefully chosen hardware, constructed with an advanced automated packaging system and tuned for reliability, high performance, and the ability to execute difficult queries. Not everyone has the powerful hardware required to do SPARQL queries against DBpedia. We’ve applied more than two years of experience packaging RDF data for the AWS Marketplace to make a product that levels the playing field to enable you do to powerful SPARQL 1.1 queries over the complete English language DBpedia with one click deployment and pricing that scales with your needs. With 168% more facts than the public DBpedia endpoint and more 73% more than our last version, the Ontology2 Edition of DBpedia 2016-04 offers a full fat, full throttle experience that is satisfying for academic, commercial and other uses – despite this considerable expansion, we’ve reduced hardware requirements and pricing so that our 2016-04 edition costs from 25% to 50% less than our 2015-10 edition. What is DBpedia good for? DBpedia is a collection of facts extracted from the English language and other editions of Wikipedia and features wide-spectrum coverage of most topics that are widely known, such as persons, places, historical events, chemical compounds, products, and abstract concepts. DBpedia concepts intersect strongly with most vertical domains such as Finance, Health Care, Geospatial, Ski Areas, etc. Frequently additional work is required to make a fully functional data set relevant to a specific domain, yet, DBpedia can be the basis of a “first draft” database on any almost any topic. Beyond that, DBpedia contains valuable enrichment information and can be used as a Rosetta stone between competitive and cooperative ontologies and databases. One of the most valuable forms of enrichment DBpedia can provide is multilingual information, thus DBpedia has special value for those who develop applications for the EMEA (Europe, Middle East, and Africa) market where the existence of many languages poses a challenge for education, commerce and peace. Although DBpedia lends most naturally to a database, logical, or rule-based approach, the correspondence between a large database of facts and supporting text makes DBpedia a key resource for text understanding work using the machine learning methodologies that are currently popular. How does the Ontology2 Edition of DBpedia 2016-04 compare with prior versions? The Ontology2 Edition of DBpedia 2016-04 contains numerous improvements over the Ontology2 Edition of DBpedia 2015-10 and previous releases. First, the Ontology2 Edition of DBpedia 2016-04 is our best edition of DBpedia yet because DBpedia 2016-04 is the best DBpedia yet. New data sets open the way to new applications and improvements to the extraction frameworks including machine learning mechanisms improve quality in general. Compared to previous editions, our 2016-04 edition features optimized I/O and networking the AWS cloud. To avoid slow initial speed while the EBS image is loading from the snapshot, we force the EBS image to be initialized as fast as possible and only give you access when it is ready to deliver fast and predictable I/O. For the first boot, you’ll need to wait about 90 minutes for it to be ready, but it is worth the wait because you’ll get consistently strong performance out of the gate – assisted by numerous changes to the configuration and build process that stabilize the system, even when tackling the toughest queries. The 2016-04 edition is our first edition to use named graphs to isolate and identify 71 different data sets provided by the DBpedia Foundation. You query the union of these graphs by default, so It works like it always has, but you can also pick and choose which datasets to use for which triple patterns so you can pick between multiple points of view of facts and look at the relationships between various points of view. We’ve improved our pricing model to be a better fit for more users and align our interests with your own. With a choice between of a low hourly rate of $1.66 USD an hour inclusive of hardware and a $499/year subscription, the Ontology2 Edition of DBpedia 2016-04 is not just the fastest, but also the least cost solution for almost anyone who wishes to perform heavy SPARQL queries over DBpedia. How does the Ontology2 Edition of DBpedia 2016-04 compare to other options? Two years ago, our :BaseKB product was the first linked data machine image to be offered in a public cloud marketplace. Other brands have come and gone, but we’ve produced more machine images with a more diverse range of different data products than anyone else. We’re not funded by a research grant, triple store vendor, or cloud service provider, and we use our machine images for our own work, so we’re focused entirely on the needs of people who query or otherwise consume Linked Data. Speed of execution is critical in the world of corporations, startups, and publish-or-perish academia and the Ontology2 Edition of DBpedia 2016-04 delivers. It frees you to focus on your own unique contributions without the distraction of provisioning hardware and working with triple stores at the edge of the performance envelope. Act Now Subscribe to the Ontology2 Edition of DBpedia 2016-04 in the AWS Marketplace https://aws.amazon.com/marketplace/pp/B01HMUNH4Q/ and you could be getting results in as little as two hours. The Ontology2 Edition of DBpedia 2016-04 is available in all current and future availability zones in the world’s most popular cloud services provider. With pay-as-you-go pricing, the Ontology2 Edition of DBpedia 2016-04 delivers optimized hardware and software when you need it – and without any commitment, there is no reason not to subscribe today. -- Paul Houle paul.ho...@ontology2.com ------------------------------------------------------------------------------ Developer Access Program for Intel Xeon Phi Processors Access to Intel Xeon Phi processor-based developer platforms. With one year of Intel Parallel Studio XE. Training and support from Colfax. Order your platform today. http://sdm.link/xeonphi _______________________________________________ DBpedia-discussion mailing list DBpedia-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion
