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The PROV-JSONLD Serialization: A JSON-LD Representation for the PROV Data Model

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Original languageEnglish
Title of host publication8th International Provenance and Annotation Workshop, IPAW 2020
Number of pages17
Accepted/In press5 May 2020


  • prov-jsonld

    prov_jsonld.pdf, 299 KB, application/pdf

    Uploaded date:20 Jun 2020

    Version:Accepted author manuscript

  • prov-jsonld

    prov_jsonld.pdf, 299 KB, application/pdf

    Uploaded date:16 May 2021

    Version:Accepted author manuscript

King's Authors


Provenance is information about entities, activities, and people involved in producing a piece of data or a thing, which can be used to form assessments about the data or the thing's quality, reliability, or trustworthiness. PROV-DM is the conceptual data model that forms the basis for the W3C provenance (PROV) family of specifications. In this paper, we propose a new serialization for PROV in JSON called PROV-JSONLD. It provides a lightweight representation of PROV expressions in JSON, which is suitable to be processed by Web applications, while maintaining a natural encoding that is familiar with PROV practitioners. In addition, PROV-JSONLD exploits JSON-LD to define a semantic mapping that conforms to the PROV-O specification and, hence, the encoded PROV expressions can be readily processed as Linked Data. Finally, we show that the serialization is also efficiently processable in our evaluation. Overall, PROV-JSONLD is designed to be suitable for interchanging provenance information in Web and Linked Data applications, to offer a natural encoding of provenance for its targeted audience, and to allow for fast processing.

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