Re: grlc turns your Linked Data queries into Linked Data APIs

On 1/26/17 10:13 AM, Pieter Colpaert wrote:
> Hi Albert,
>
> Nice work! With The DataTank [1] we also released a similar feature
> back in 2012 that takes SPARQL templates at its input, and describes
> its output using DCAT-AP, the right HTTP headers for e.g., caching,
> and supports content negotiation. Next to also BASIL, also LimeDS [2]
> provides similar functionality, as a data adapter connecting various
> interfaces using a visual interface.
>
> I like these kinds of frameworks as they bridge the gap between
> publishing data as interoperable as possible – for maximum reuse – and
> front-end developers that want an app on top of a number of triples.
> They form an abstraction layer which can be used by front-end
> developers to quickly create a UI on top of data without having the
> take into account an open world assumption. Such frameworks are great
> tools for digital signage providers [3] and similar type of reuse that
> needs simple views, to take away some of the processing from a low-end
> device.
>
> To that extent, I would find it interesting if in the same way we
> could create an abstraction framework for more complex user agents.
> E.g., user agents that combine different data sources by crawling
> Linked Data using LDQL [4], the Linked Data Fragments client [5] or
> for the Linked Connections client for public transit route
> planning[6]. While when the caches of these type of user agents are
> cold, an end-user might have to wait some time for an answer, when the
> caches are hot – not unthinkable when all your end-users are asking
> very similar questions – results are probably going to be very fast.
>
> Kind regards,
>
> Pieter
>
> [1] https://github.com/tdt/core

Hi Pieter,

Do you have URI for a live example that uses a SPARQL Endpoint?

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Kingsley Idehen       
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OpenLink Software   (Home Page: http://www.openlinksw.com)

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Received on Thursday, 26 January 2017 15:42:23 UTC