INFOSCALE 2014: Scalable Information Systems pp 91-96 | Cite as

A Design of Sensor Data Ontology for a Large Scale Crop Growth Environment System

Conference paper
First Online:
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 139)

Abstract

The development of various sensor and sensor network made it possible to collect environmental date from specific area, however, there is a lack of practical application to share useful information and knowledge with using the sensor data, Thus this study is to establish data domain ontology and to predict the information on the growth environment of crop based on this already built domain ontology. The inference model suggested in this paper is collected from weather center.

Keywords

Sensor Network Sensor Data Inference Rule Domain Ontology Context Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Notes

Acknowledgments

This work (Grants No. C0250284) was supported by Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2014 and This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2013R1A1A2A10011667).

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Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015

Authors and Affiliations

  • Eunji Lee
    • 1
  • Byeongkyu Ko
    • 1
  • Chang Choi
    • 1
  • Pankoo Kim
    • 1
  1. 1.Department of Computer EngineeringChosun UniversityGwangjuRepublic of Korea

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