earticle

영어

The u-GIS spatial information technology requires the processing of Geosensor information. Geosensor information processing generates real-time and high-volume location and data streams related to locations. To process this kind of data, data stream management systems (DSMS) and spatio-temporal data stream management system (ST-DSMS) are being researched. However DSMS deals with general data streams that do not consider spatial and temporal domains. ST-DSMS supports the processing of spatial and temporal domains. However, ST-DSMS is based on continuous query processing over sliding windows the queries in ST- DSMS that are limited to expressing various spatio-temporal predicates. Moreover, studies on ST-DSMS lacked analyses on multiple attributes and various spatio-temporal. In this paper, we present a new spatio-temporal sliding window for achieving spatio-temporal data stream with multiple attributes. The method is based on periodical query processing over sliding windows and maintains in-out time and value histories of objects. So, in this paper, we can support various spatio-temporal predicates, deal with multiple attributes, and provide complex query syntax analyzing various spatio-temporal correlations