Research on the Coupled Representation of Model and Data Integration Guided by Metadata Sets

Abstract. Aiming at the problems of islands, redundancy and sharing difficulties of spatial and temporal business models and data in geospatial and spatial business systems, this paper proposes an integrated and coupled expression method of models and data guided by metadata sets, based on the research on core metadata of information resources and component-based encapsulation. First of all, this method classifies the model and data features, and constructs the metadata description and expression framework dominated by feature meta-components; then, establishes metadata sets through the expansion of the metadata description and expression framework; then, constructs the correlation between the model and the data through the use of the established metadata sets by means of the component-based encapsulation method, so as to complete the integrated coupling of the model and the data; and finally, realises the integrated coupling expression of the model and the data in the digital pipeline business system. The results show that this method integrates the expression of digital pipeline element models and data, solves the problems of silos, redundancy and conflicts of heterogeneous models and data from multiple sources, ensures the integrity of the attributes of the models and data elements, and promotes the structured expression and application of the models and data.