PROV-JSONLD: A JSON and Linked Data Representation for Provenance

Trung Dong Huynh, Danius T. Michaelides, Luc Moreau

Research output: Chapter in Book/Report/Conference proceedingOther chapter contributionpeer-review

1 Citation (Scopus)
158 Downloads (Pure)


In this paper, we propose a representation for PROV in JSON-LD, the JSON format for Linked Data, called PROV-JSONLD. As a JSON-based format, this provenance representation can be readily consumed by Web applications currently supporting JSON. As a Linked Data format, at the same time, it also represents provenance data in RDF using the PROV ontology. Hence, it is suitable for usages in both the Web and the Semantic Web.
Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes
Subtitle of host publication6th International Provenance and Annotation Workshop, IPAW 2016
EditorsMarta Mattoso, Boris Glavic
Place of PublicationMcLean, VA, US
PublisherSpringer International Publishing
Number of pages5
ISBN (Electronic)978-3-319-40593-3
ISBN (Print)978-3-319-40592-6
Publication statusPublished - 2016

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing


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