Extracting JSON Schemas with tagged union

URN to cite this document:: urn:nbn:de:bvb:355-epub-772883
DOI to cite this document:: 10.5283/epub.77288

Klessinger, Stefan ; Klettke, Meike

; Störl, Uta ; Scherzinger, Stefanie

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 28 Aug 2025 08:20

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Item type:	Conference or workshop item (Paper)
Open Access Type:	CC-License
Title of Book:	Proceedings of the First International Workshop on Data Ecosystems co-located with 48th International Conference on Very Large Databases (VLDB 2022)
Publisher:	CEUR-WS.org
Other Series:	CEUR Workshop Proceedings
Volume:	3306
Page Range:	pp. 27-40
Date:	2022
Institutions:	Informatics and Data Science > General computer science > Data Engineering (Prof. Dr.-Ing. Meike Klettke)
Projects:	NoSQL-Schema-Evolution und skalierbare Big Data Datenmigration II Funded by: Deutsche Forschungsgemeinschaft (DFG) (385808805)
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Partially
Item ID:	77288

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Abstract

With data lakes and schema-free NoSQL document stores, extracting a descriptive schema from JSON data collections is an acute challenge. In this paper, we target the discovery of tagged unions, a JSON Schema design pattern where the value of one property of an object (the tag) conditionally implies subschemas for sibling properties. We formalize these implications as conditional functional ...