JSONiq: The History of a Query Language

NoSQL data stores support hierarchical, heterogeneous data such as XML, JavaScript Object Notation (JSON), and Binary JSON (BSON). A need exists for a tailor-made language for querying such hierarchical, heterogeneous datasets. JSONiq was designed from the ground up to support JSON data and run agai...

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Bibliographic Details
Published in:IEEE internet computing Vol. 17; no. 5; pp. 86 - 90
Main Authors: Florescu, D., Fourny, G.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.09.2013
IEEE Computer Society
Subjects:
Applied sciences
BSON
Computer science; control theory; systems
data
Data models
Database languages
Exact sciences and technology
Grounds
hierarchical query language
History
Information systems. Data bases
Internet
Java (programming language)
JSON
JSONiq
Memory organisation. Data processing
NoSQL
Object oriented modeling
Object-oriented programming
Query processing
semi-structured
Software
Stores
Tables
XML
JAVA language
Query language
Database query
Marshalling
Scripting language
Object oriented
Database
XML language
End-user programming
Database management system
ISSN:1089-7801
Online Access:Get full text
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Description
Summary:NoSQL data stores support hierarchical, heterogeneous data such as XML, JavaScript Object Notation (JSON), and Binary JSON (BSON). A need exists for a tailor-made language for querying such hierarchical, heterogeneous datasets. JSONiq was designed from the ground up to support JSON data and run against all JSONor BSON-based data stores, turning them into full-fledged databases.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1089-7801
DOI:10.1109/MIC.2013.97