Consistency and Visual Checking for Exploration and Development Data Standards Based on Knowledge Graph
Min Cui, Weichong Li, Zhiyong Deng, Jinbo Zhang · 2025
Data standards are significant achievements of data governance, and they are also the foundation for data applications, especially the construction of artificial intelligence scenarios. The consistency of data items within data standards is a crucial part of standard construction. The data standards for offshore exploration and development have given rise to approximately 10000 standard tables and 190000 data items. Due to reasons such as domain-based governance, complex sources, and manual verification, phenomena like diverse and and inconsistent encodings for the same data item, as well as spelling mistakes, have seriously affected data modeling and data services. Meanwhile, data standards presented in tabular form have poor readability, and it is almost impossible to achieve consistency checking between tables. Because of the huge workload, it is difficult to achieve full coverage, and the quality highly depends on experts. There is an urgent need for data visualization to aid in standard writing and checking. The solution based on knowledge graphs, which consists of nodes and edges, can represent entities and the relationships between them. By sorting out and establishing the relationships between data items, constructing a graph database, and presenting the relationships between all data tables, data items, and their encodings in the form of knowledge graphs, it can effectively help with the comparison and checking of data standardization and consistency, and realize the visualization of data content and relationships.