Enriching the Open Provenance Model for a Privacy-Aware Provenance Management
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European Journal of Science and Technology
Reference24 articles.
1. Burgess, L.C. (2016). Provenance in Digital Libraries: Source, Context, Value and Trust. In: Lemieux V. (eds) Building Trust inInformation. Springer Proceedings in Business and Economics, pp. 81-91. Springer, Cham.
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3. Butt A.S., & Fitch P. (2020). ProvONE+: A Provenance Model for Scientific Workflows. In: Huang Z., Beek W., Wang H., Zhou R., Zhang Y. (eds) Web Information Systems Engineering – WISE 2020. Lecture Notes in Computer Science, Vol 12343, pp. 431-444. Springer, Cham.
4. Can, O., & Yilmazer, D. (2014). A Privacy-Aware Semantic Model for Provenance Management. In: Closs S., Studer R., Garoufallou E., Sicilia MA. (eds) Metadata and Semantics Research (MTSR 2014). CCIS Vol 478, pp. 162-169. Springer, Cham.
5. Can, O., & Yilmazer, D. (2020). A novel approach to provenance management for privacy preservation. Journal of Information Science, 46(2):147-160.
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