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

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Provenance and Annotation of Data and Processes (IPAW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9672))

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Abstract

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.

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Notes

  1. 1.

    See https://www.w3.org/Submission/prov-json/ for PROV-JSON and https://www.w3.org/TR/prov-overview/ for the other PROV representations.

  2. 2.

    The JavaScript Object Notation (JSON): https://tools.ietf.org/html/rfc7159.

  3. 3.

    JSON-LD: https://www.w3.org/TR/json-ld/.

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Correspondence to Trung Dong Huynh .

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© 2016 Springer International Publishing Switzerland

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Huynh, T.D., Michaelides, D.T., Moreau, L. (2016). PROV-JSONLD: A JSON and Linked Data Representation for Provenance. In: Mattoso, M., Glavic, B. (eds) Provenance and Annotation of Data and Processes. IPAW 2016. Lecture Notes in Computer Science(), vol 9672. Springer, Cham. https://doi.org/10.1007/978-3-319-40593-3_15

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  • DOI: https://doi.org/10.1007/978-3-319-40593-3_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40592-6

  • Online ISBN: 978-3-319-40593-3

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