面向变化语义描述的事件-过程时空数据模型研究

Research on Change Semantic Description Oriented Event Process Spatiotemporal Data Model

时空数据所隐含的变化语义信息对时空动态现象模拟具有重要意义,随着时空数据模型研究的深入,出现了面向变化语义描述的时空数据模型。利用事件、过程表达时空变化的发生,是面向变化语义描述的时空数据模型主要方法。由于时空变化的多样、复杂性,现有模型存在变化语义交叉、界限不清等情况。为了模型的改进与应用,本文通过梳理事件、过程为核心的时空数据模型建模理论和方法,分析各类模型表示实体基本类型,回答时空变化基本问题等变化语义描述能力特点,归纳总结了变化语义通用描述框架及未来发展的方向。

The semantics of spatiotemporal changes implied by spatiotemporal data is of great significance to simulate spatiotemporal dynamic phenomena. With the in-depth study of spatiotemporal data, the models based on describing the semantics of spatiotemporal changes have emerged. The main method for modeling spatiotemporal data which is focused on describing the semantics of spatiotemporal changes is characterizing the occurrence of spatiotemporal changes through event and process. Due to the diversity and complexity of spatiotemporal changes, there are issues such as overlapping semantics, unclear boundaries in describing spatiotemporal changes with the existing models. To improve spatiotemporal data model and its application, this paper reviewed the theories and methods proposed by event centered and process centered spatiotemporal data models, characterized their capabilities of describing the semantics of spatiotemporal changes by analyzing the basic types of representing entities, answered fundamental questions related to spatiotemporal changes, and summarized an universal framework for describing semantics of spatiotemporal changes and its future development.