Research on provenance model for enterprise data right based on PROV

Jingmeng Xu; Wen Jiang; Ke Du; Jun Tang; Chao Tang; Dasha Hu; Yuming Jiang

doi:10.1117/12.2646290

23 August 2022 Research on provenance model for enterprise data right based on PROV

Jingmeng Xu, Wen Jiang, Ke Du, Jun Tang, Chao Tang, Dasha Hu, Yuming Jiang

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233020 (2022) https://doi.org/10.1117/12.2646290
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

To express the right information about enterprise data and trace the changes of data right in the whole life cycle of data, this paper designed a data right provenance model based on the W3C PROV model. The PROV-R model defined the core class to support the representation of data right with a new set of relations to express the interaction between the classes. In order to trace the complex right relations, the model uses some inference rules to add the new relational statements. Finally, a data trading process shows the application of this data right provenance model.

Citation Download Citation

Jingmeng Xu, Wen Jiang, Ke Du, Jun Tang, Chao Tang, Dasha Hu, and Yuming Jiang "Research on provenance model for enterprise data right based on PROV", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233020 (23 August 2022); https://doi.org/10.1117/12.2646290

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