Modeling and expression of parts' relationship of multi-granularity spatio-temporal object based on mereology logic
Mengxiong Zeng, Xiang Li, Hao Geng, Wei Zhao · International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022) · 2023
The parts of multi-granularity spatio-temporal objects is to describe the "whole-part" relationship between different objects in the pan-spatial information system. It is the key to describe the internal parts, dynamic changes and classification system of spatio-temporal objects, and it is also an important part of octet description objects in the pan-spatial information system. The traditional relational description models of spatio-temporal objects have some shortcomings in complex relationship, semantic relevance and scene dynamic expansion process. This paper intends to elaborate the basic concept, classification method and description framework of the "whole-part" relationship of multigranularity spatio-temporal objects based on mereology logic. The application scenarios, life cycle and the "whole-part" relationship of multi granularity spatio-temporal objects are tested on Cesium platform. The experimental results show that this model can effectively make up for the deficiency of the current "whole-part" relationship expression model, which provides the corresponding theoretical basis and data organization mode for multi-granularity spatio-temporal modeling of pan-spatial information application scenarios.