Hi Paul,
you always send interesting postings about this stuff, Linked Data or
whathever it is named now...
But i have had nothing to do with AWS Marketplaces until now, therefore my
stupid question, sorry:
When i subscribe your 'The Ontology2 Edition of DBpedia 2016-04'
a.) can i give to the world then directly a SPARQL-endpoint-link (with
'full throttle experience') for your dbpedia-dataset, so that everybody
can check its performance like we do it since a while ('throttled
performance') for example with common endpoint:
https://dbpedia.org/sparql
or
b.) can only i or my app (logged in) query the dataset?
i have some apps to check such things, but i have to decide quickly with a
model case, is it worth to invest time?
i hope for a simple, introducing respond for interested with 'no
AWS-experience' but very interested to check the performance easily
reproducible for all...
Thanks, baran.
--------------------------------
On Mon, 31 Oct 2016 18:25:21 +0100, Paul Houle <paul.ho...@ontology2.com>
wrote:
> 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.
>
>
>
>
>
>
>
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