| Abstract |
Semantic technology gives meaning to numerous raw data collected through the various IoT platform of Smart City and creates a relationship between data so that all data can be organically connected. SPARQL is used as a query language for retrieving such semantic data, but the demand for graph database that can be traversed between data is increasing due to the speed of search and limitations of complex relationship search. However, due to the difference in the resource structure and the expression range between the existing semantic data and data in graph database, data could be lost, or unnecessary data is generated in the data conversion process. Therefore, in this paper, we propose an interworking system that enables retrieved semantic data from a smart city using SPARQL to be expressed in a graph database without data loss, thereby make possible complex relationship inquiry and graph traversal. |
