Json ld hydra

json ld hydra

Json ld hydra

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json ld hydra

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15-19 л. Подошве розовой плотных пакетов на 20вот вид подошвы изнаночной стороны. Верхнюю из плотных пакетов на 20. Верхнюю из плотных пакетов крючком. Связала из плотных пакетов воздушными петлями л вид подошвы.

That means using jsonld. If you have some kind of out-of-band knowledge about how the system works then you may be able to use jsonld. I think most of these systems work much the opposite: the server can take a JSON-LD input that uses any context and can then recompact it using the context that it understands.

The client can do whatever it wants -- using whatever context or none at all it wants to. I may be misunderstanding how this tech would be used. It may help if you explained a bit more how this smart client would work and how someone would program an application using it. Show 2 more comments. Sign up or log in Sign up using Google.

Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown. The Overflow Blog. Stop aggregating away the signal in your data. Featured on Meta. Should we burninate the [high-resolution] tag? Linked 2. Related Hot Network Questions. Question feed. This means that in addition to returning a representation of the resource in question, a request should also be met by instructions on how to further interact with the resource or API as a whole.

In particular, upon accessing a resource, the client should be provided with information as to what actions can be performed on that resource. These actions should be accompanied by hyperlink references to relevant URIs. The promises of hypermedia web APIs are many: dynamic explorability, inline documentation, and no more hardcoded resource URIs, among others. In practice, though, hypermedia APIs have seen slow adoption. One reason for this is that there is no standardized framework for recognizing or consuming hypermedia controls.

As a result, clients still have to be hardcoded against the hypermedia implementations used in specific APIs — which begs the question, why bother at all? Hydra aims to address this issue by providing a common vocabulary for concepts frequently seen in web APIs.

In reality, Hydra consists of two key parts. Thus, as long as the consumer is familiar with the vocabulary being used, they can independently determine the meaning of a key-value pair without the need for external documentation. While JSON-LD makes it possible to provide hypermedia affordances read: links to other resources in a standardized fashion, the Hydra Core Vocabulary can be used to describe them. The Operation resource identifies operations that can be performed on an affordance, while the method property defines what HTTP method should be used for that operation.

For instance, it specifies the entrypoint for the API, as well as supported classes and possible statuses. His prototype application, Wikibus. On the collection page for brochures, the application renders individual brochure items based on schema:title and schema:image properties specified by JSON-LD. In a similar fashion, the application renders individual item pages autonomously, based on the schema:image and other properties specified for the object.

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What is JSON-LD?

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