Abstract
Recent interest in smart space such as smart city and digital twin has increased, and various types of spatial information are being generated, and studies on the utilization of spatial information are actively underway. Smart space is presented by Gartner as the top 10 strategic technology trends in 2019. However, in order to deal with different types of spatial information, separate software for each spatial information format is required, which degrades the performance of a single computer and causes a large cost. In this paper, we propose a method of using a processor library which can easily access various spatial information producers (Geo-IoT sensor, SNS information, unstructured spatial information, etc). The use of the processor library presented in this paper is based on the Apache NiFi platform. The Apache NiFi Platform is an Open Source that provides powerful ETL functionality based on graphs and has the advantage of easy accessibility for general users.
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