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

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Abstract

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.
Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes
Subtitle of host publication8th and 9th International Provenance and Annotation Workshop, IPAW 2020 + IPAW 2021, Virtual Event, July 19–22, 2021, Proceedings
PublisherSpringer, Cham
Pages51-67
Number of pages17
ISBN (Electronic)978-3-030-80960-7
ISBN (Print)978-3-030-80959-1
DOIs
Publication statusPublished - 9 Jul 2021

Keywords

  • Provenance
  • PROV
  • JSON
  • JSON-LD
  • Linked Data
  • Standardisation
  • Serialization

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