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RDF Repository Optimization Structure Method for Processing Context-aware of IoT Environment SCOPUS

Su-kyoung Kim, Sung-en Kim, Gui-hyun Baek, Kee-hong Ahn

보안공학연구지원센터(IJSEIA) International Journal of Software Engineering and Its Applications Vol.9 No.12 2015.12 pp.107-114

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

This paper suggests the optimization method of RDF Repository. When state data that occurred thing composing context information, this method processes in real-time using ontology technique in IoT environment. It needs to adapt meaning system about state to delivery correct state among different things. In other words, it is important to adapt technique to guarantee Semantic Interoperability. For this, People suggest a method such as SSNO based on ontology. However, techniques were center of modeling to express most things. They have a lack of paper about real-time reasoning engine that processes thing’s state and context. Also, ontology reasoning engine based on RDF repository currently optimized static data processing. Due to this reason, it can not be satisfy real-time processing that request from IoT service. Therefore, this paper research a method about optimizing RDF repository composition to solve this problem.

 
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