Abstract
In the era of big data, the value of data can be better explored during data flowing and processing. If a data supply chain from the source to the destination is constructed across data platforms where data flows through, then it will help users analyze and use these data more safely and effectively. Due to the complexity and diversity of data platforms, there is no uniform data supply chain model specification. To solve the problem, we construct a distributed data supply chain model based on PROV, a data provenance specification presented by W3C to standardize information records of data activities in corresponding data platforms. On this basis, we design Data Supply Chain Service Module (DSCSM), so as to provide effective accessing methods for data traceability information on distributed platforms. Finally, we deploy the proposed model to real data platforms we built to verify the effectiveness and feasibility of solution.
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Lan, J., Liu, X., Luo, H., Li, P. (2015). Study of Constructing Data Supply Chain Based on PROV. In: Wang, Y., Xiong, H., Argamon, S., Li, X., Li, J. (eds) Big Data Computing and Communications. BigCom 2015. Lecture Notes in Computer Science(), vol 9196. Springer, Cham. https://doi.org/10.1007/978-3-319-22047-5_6
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DOI: https://doi.org/10.1007/978-3-319-22047-5_6
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