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Example of a Thing Description object. Below is an example TD serialized in JSON-LD format, which has one property, one action and one event. The IoT device represented by this TD uses the HTTP protocol but a TD can represent any protocol with a URI scheme , as shown in the example below.
This JavaScript example implementation provides the toJSON method used by the JSON.stringify() [9] function to serialize the class into a simple string instead of a composite data type. It calls Object.freeze() to make the instance immutable. [10] It overrides the built-in toString() method [11] and the valueOf() method. [12]
In Mac OS X 10.7, support for reading and writing files in JSON format was introduced. JSON and property lists are not fully compatible with each other, though. For example, property lists have native date and data types, which the JSON format does not support. Conversely, JSON permits null values while property lists do not support explicit nulls.
The specifications allow JSON objects that contain multiple members with the same name. The behavior of implementations processing objects with duplicate names is unpredictable. For interoperability, applications should avoid duplicate names when transmitting JSON objects.
Accept-Patch: text/example;charset=utf-8: Permanent RFC 5789: Accept-Ranges: What partial content range types this server supports via byte serving: Accept-Ranges: bytes: Permanent RFC 9110: Age: The age the object has been in a proxy cache in seconds: Age: 12: Permanent RFC 9111: Allow: Valid methods for a specified resource. To be used for a ...
A distributed, cloud-enabled and massively scalable graph database for complex, real-time queries and operations. Its Vertex and Edge objects have unique 64-bit object identifiers that considerably speed up graph navigation and pathfinding operations. It supports batch or streaming updates to the graph alongside concurrent, parallel queries.
JSON-LD is designed around the concept of a "context" to provide additional mappings from JSON to an RDF model. The context links object properties in a JSON document to concepts in an ontology. In order to map the JSON-LD syntax to RDF, JSON-LD allows values to be coerced to a specified type or to be tagged with a language.
The subject denotes the resource; the predicate denotes traits or aspects of the resource, and expresses a relationship between the subject and the object. For example, one way to represent the notion "The sky has the color blue" in RDF is as the triple: a subject denoting "the sky", a predicate denoting "has the color", and an object denoting ...