Spatio-Temporal Data Model, its Operations and Constraints for Location-Based Service

초록

Analyzing the continuous change on the location and shape of spatio-temporal objects over time is important to LBS rose to a killer application in a next-generation wireless internet. Spatio-temporal databases are important to store the real-time location information of large spatio-temporal objects efficiently and retrieve them rapidly. Accordingly, necessity for spatio-temporal database system that can manage spatial information, aspatial information and temporal information of spatio-temporal objects is increasing. However, in conventional spatio-temporal data models, there are two problems as follows. First, the size of database is increased rapidly because a lot of data between neighboring point of time are stored in duplicate. Second, the execution time of temporal operation becomes slow in proportion to the size of database. Therefore, in this paper, we propose a spatio-temporal data model that is able to efficiently manage historical spatio-temporal objects information varies dynamically as time. Also, various spatio-temporal operations and constraints are defined to keep integrity of spatio-temporal data and spatio-temporal operations. Keywords: LBS, Data Model, Spatio-Temporal series