Modeling Identifiable Data in Industrial Internet
Yang Liu, Bin Xie, Tianyu Han, Juan Tian · IEEE Access · 2020
As the cornerstone of Industrial Internet, heterogeneous data interoperability is aiming to develop intelligence through the data-driven industry. Hence, standardized data model and information service system become more and more important for different countries, different industries, and different enterprises. In this paper, we provide a comprehensive study of the latest industrial data models, and propose the exploration of Identifiable Digital Object (IDO) data model. We hope that this paper will inspire more researches into practice.