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PROV-JSONLD: a JSON and linked data representation for provenance

Huynh, Trung Dong, Michaelides, Danius T. and Moreau, Luc (2016) PROV-JSONLD: a JSON and linked data representation for provenance In Provenance and Annotation of Data and Processes. Springer. 5 pp. (doi:10.1007/978-3-319-40593-3_15).

Record type: Conference or Workshop Item (Paper)


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.

PDF prov-jsonld-poster-abs.pdf - Accepted Manuscript
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Accepted/In Press date: 19 April 2016
e-pub ahead of print date: 4 June 2016
Venue - Dates: 6th International Provenance & Annotation Workshop (IPAW '16), 2016-06-07 - 2016-06-08
Organisations: Web & Internet Science


Local EPrints ID: 395985
ISSN: 0302-9743
PURE UUID: 3b7ccff8-4524-4972-80ca-8f7c48ee0057
ORCID for Trung Dong Huynh: ORCID iD
ORCID for Luc Moreau: ORCID iD

Catalogue record

Date deposited: 27 May 2016 14:20
Last modified: 17 Jul 2017 18:52

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Author: Trung Dong Huynh ORCID iD
Author: Danius T. Michaelides
Author: Luc Moreau ORCID iD

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