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• 2016

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

  Huynh, T. D., Michaelides, D. T. & Moreau, L., 2016, Provenance and Annotation of Data and Processes: 6th International Provenance and Annotation Workshop, IPAW 2016. Mattoso, M. & Glavic, B. (eds.). McLean, VA, US: Springer International Publishing, p. 173-177 5 p. (Lecture Notes in Computer Science; vol. 9672).

  Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution › peer-review

  Open Access

  File

  • Linked Data 100%
  • Ontology 33%
  • Web Application 33%
  • Data Provenance 33%
  • Data Type 33%
  1 Citation (Scopus)

  179 Downloads (Pure)