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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 paper

Original languageEnglish
Title of host publication8th International Provenance and Annotation Workshop, IPAW 2020
Number of pages17
Publication statusAccepted/In press - 5 May 2020

Documents

  • prov-jsonld

    prov_jsonld.pdf, 299 KB, application/pdf

    20/06/2020

    Accepted author manuscript

King's Authors

Abstract

Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about the data or thing's quality, reliability or trustworthiness. PROV-DM is the conceptual data model that forms a 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 light-weight 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 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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