关键词: 时空对象, 属性特征, 时间尺度, 语义尺度

Abstract:

As the development of Smart City and other GIS applications, we need to collect many types of attribute data of spatio-temporal objects derived from a variety of geographical entities or geographical phenomena. Generally, these attribute data have features of multi-scale, multi-dimension and dynamic, which pose challenges to effective expression and management of attribute characteristics of spatio-temporal objects. In view of the unclear structure, storage redundancy and semantic heterogeneity in the current expression method of attribute for spatio-temporal object, we present a set of expression and operation methods of attribute characteristics that take semantic and dynamic features into account. Based on the concept of classification theory, this method classifies different types of attribute information, introduce the time stamps that are independent of the spatial information of spatio-temporal object. It was coordinated with original sets and update sets to record and manage attribute information at different time nodes. Furthermore, to attribute with expression requirement of different semantic dimensions, we add semantic scale identifier to point out the semantic dimension and set knowledge reference to describe the transformation relation between different semantic scales. Finally, based on the design of dependent time stamp, the knowledge reference and the semantic scale identifier, we formulate the operation methods of transformation between different time scales of attribute information as well as semantic scales and give an example of both operation methods. The expression and operation methods of attribute information we proposed, can help to reduce the redundancy of the expression model for spatio-temporal object realize the cognitive mode of attribute with multi-time scale and multi-semantic scale, and provide a novel method to fine management of attributes of spatio-temporal object.

Key words: spatio-temporal object, attribute, time scale, semantic scale