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JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...
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.
Web frameworks can often be configured to model bind properties on view models that are strongly typed identifiers. Object–relational mappers can often be configured with value converters to map data between the properties on a model using strongly typed identifier data types and database columns.
The Dart software development kit (SDK) ships with a standalone Dart runtime. This allows Dart code to run in a command-line interface environment. The SDK includes tools to compile and package Dart apps. [30] Dart ships with a complete standard library allowing users to write fully working system apps like custom web servers. [31]
JSON is promoted as a low-overhead alternative to XML as both of these formats have widespread support for creation, reading, and decoding in the real-world ...
This makes accessing data in these formats much faster than data in formats requiring more extensive processing, such as JSON, CSV, and in many cases Protocol Buffers. Compared to other serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations).
The input data can be a class so that input data can be characterized as a model–view–controller (MVC) view. The Mustache template does nothing but reference methods in the (input data) view. [3] All the logic, decisions, and code is contained in this view, and all the markup (ex. output XML) is contained in the template.
The Dynamic Analysis and Replanning Tool, commonly abbreviated to DART, is an artificial intelligence program [1] used by the U.S. military to optimize and schedule the transportation of supplies or personnel and solve other logistical problems.