AN ABSTRACTION MODEL FOR IN-SITU SENSOR DATA USING SENSORML

  • Lee Yang Koo (Database/Bioinformatics Laboratory, Chungbuk National University) ;
  • Jung Young Jin (Database/Bioinformatics Laboratory, Chungbuk National University) ;
  • Park Mi (Database/Bioinformatics Laboratory, Chungbuk National University) ;
  • Kim Hak Cheol (Electronics and Telecommunicatins Research Institute (ETRI)) ;
  • Lee Chung Ho (Electronics and Telecommunicatins Research Institute (ETRI)) ;
  • Ryu Keun Ho (Database/Bioinformatics Laboratory, Chungbuk National University)
  • Published : 2005.10.01

Abstract

Context-awareness techniques in ubiquitous computing environment provide various services to users who need to get information via the analysis of collected information from sensors in a spatial area. Context-awareness has been increased in ubiquitous computing and is applied to many different applications such as disaster management system, intelligent robot system, transportation management system, shopping management system, and digital home service. Many researches have recently focused on services that provide the appropriate information, which are collected from Internet by different kinds of sensors, to users according to context of their surrounding environment. In this paper, we propose an abstraction model to manage the large-scale contextual information and their metadata which are collected from different kinds of in-situ sensors in a spatial area and are presented them on the web. This model is composed of the modules expressing functional elements of sensors using sensorML(Sensor Model Language) based on XML language and the modules managing contextual information, which is transmitted from the sensors.

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