On Wed, 02 Nov 2016 11:38:58 +0100, <baran...@gmail.com> wrote:
>
> 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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