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A Type System for Interactive JSON Schema Inference (Extended Abstract)

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LIPIcs-ICALP-2019-101.pdf (577.9Kb)
Date
2019
Dewey
Programmation, logiciels, organisation des données
Sujet
JSON; type systems; interactive inference
DOI
http://dx.doi.org/10.4230/LIPIcs.ICALP.2019.101
Conference name
46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)
Conference date
07-2019
Conference city
Patras
Conference country
Greece
Book title
46th International Colloquium on Automata, Languages, and Programming (ICALP 2019)
Author
Baier, Christel; Chatzigiannakis, Ioannis; Flocchini, Paola; Leonardi, Stefano
Publisher
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Year
2019
ISBN
978-3-95977-109-2
URI
https://basepub.dauphine.fr/handle/123456789/19937
Collections
  • LAMSADE : Publications
Metadata
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Author
Baazizi, Mohamed-Amine
233 Laboratoire d'Informatique de Paris 6 [LIP6]
Colazzo, Dario
989 Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Ghelli, Giorgio
87913 Dipartimento di Informatica [Pisa]
Sartiani, Carlo
262138 Dipartimento di Matematica Informatica ed Economia [DiMIE]
Type
Communication / Conférence
Item number of pages
101:1--101:13
Abstract (EN)
In this paper we present the first JSON type system that provides the possibility of inferring a schema by adopting different levels of precision/succinctness for different parts of the dataset, under user control. This feature gives the data analyst the possibility to have detailed schemas for parts of the data of greater interest, while more succinct schema is provided for other parts, and the decision can be changed as many times as needed, in order to explore the schema in a gradual fashion, moving the focus to different parts of the collection, without the need of reprocessing data and by only performing type rewriting operations on the most precise schema.

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