Semantic Data Process Method based on RDF for Context Information

被引：0

作者：

Baek, Gui-hyun ^{[1
]}

Kim, Sung-en ^{[1
]}

Shin, Geon-chul ^{[1
]}

Ahn, Kee-hong ^{[1
]}

Kim, Su-kyoung ^{[1
]}

机构：

[1] Hanbat Natl Univ, 125 Dongseo Daero, Daejeon, South Korea

来源：

2015 8TH INTERNATIONAL CONFERENCE ON ADVANCED SOFTWARE ENGINEERING & ITS APPLICATIONS (ASEA) | 2015年

关键词：

IoT(Internet of Thing); Context-aware; ontology; Semantic Web; RDF Repository; Triple Store; Inference Engine;

D O I：

10.1109/ASEA.2015.11

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：25 / 29

页数：5