A Study of Design with Spatial Rule-Based Engine Using GeoSpatial Big-Data

Recently, spatial information has been increasing in many kinds of producers such as SNS (Social Network Service), news, and portal site. Researches are also being actively conducted to analyze useful information in various kinds of spatial information. There are various ways to analyze such useful information, such as trend analysis, hot spot analysis, and emotion analysis. However, non-spatial information in useful information should be classified as simple characters or converted into spatial objects. In this paper, we propose a spatial rule processing engine that performs spatial objectification based on non - spatial information types in useful information. The proposed spatial rule processing engine first judges whether a schema is retained according to various types of spatial information inputted. And creates a new schema and a spatial table according to the user-defined rule and table-related information. The information generated by the user-defined rules and related information is sent to the distributed spatial ETL processing engine. And extract, transforms, and stores them in Hadoop linked by each generation event.