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GEDCOM is defined as a plain text file, using UTF-8 encoding as of version 7.0. This file contains genealogical information about individuals such as names, events, and relationships; metadata links these records together. GEDCOM 7.0, released in 2021, is the most recent version of the GEDCOM specification as of July 2024. [6]
XML separates "data" from "metadata" (via the use of elements and attributes), while JSON does not have such a concept. Another key difference is the addressing of values. JSON has objects with a simple "key" to "value" mapping, whereas in XML addressing happens on "nodes", which all receive a unique ID via the XML processor.
Yes, canonical representation: Yes, advanced transport representation: No No — Smile: Tatu Saloranta 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 ...
The major changes in this release include 1) the serialization order of N-D array elements changes from column-major to row-major, 2) _ArrayData_ construct for complex N-D array changes from a 1-D vector to a two-row matrix, 3) support non-string valued keys in the hash data JSON representation, and 4) add a new _ByteStream_ object to serialize ...
JSON or JavaScript Object Notation, is an open standard format that uses human-readable text to transmit data objects. JSON has been popularized by web services developed utilizing REST principles. Databases such as MongoDB and Couchbase store data natively in JSON format, leveraging the pros of semi-structured data architecture.
It was developed by Eugene W. Stark [1] as a feature of his GEDCOM to HTML translator software, GED2HTML. [2] Stark's GENDEX site originally accepted the GENDEX files until that site was retired in 2004. Since then, other sites have continued to support the format, including the GenDex Network, [3] which became publicly available on 4 April ...
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.
ASN.1 – Abstract Syntax Notation One, is an International Standards Organization data representation format used to achieve interoperability between platforms. NCBI uses ASN.1 for the storage and retrieval of data such as nucleotide and protein sequences, structures, genomes, and PubMed records.