Blockchain and Oracle-Driven Web3 Architecture for Data Interaction
Jian Li, Wei Tong, Lingxiao Yang, Xiangshang Gao, Zesong Dong, Chen Wang · 2024
With the development of artificial intelligence generated content (AIGC), the issue of interest disputes caused by data abuse has become increasingly severe. Recently, data is still dominated by the central organization instead of its producer. It is challenging to guarantee data sovereignty autonomy which helps to reasonably play the value of data and facilitate the controllable evolution of AI. The emerging “read-write-own” based Web3 is a promising pattern to break the data monopoly held by central organizations. In this paper, we propose a data interaction-oriented Web3 architecture driven by blockchain and oracle with the features of data sovereignty autonomy, zero trust, distributed security, and fair payment and incentive to guarantee data sovereignty autonomy. We finally provide a use case on life insurance to implement and evaluate our Web3 architecture in terms of performance.