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Customized Resource Collaboration System based on Ontology and User Model in Resource Sharing Environments

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(4), pp.107-114
  • DOI : 10.9708/jksci.2018.23.04.107
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : January 23, 2018
  • Accepted : April 9, 2018
  • Published : April 30, 2018

1)Jong-Hyun Park 1

1충남대학교

Accredited

ABSTRACT

Recently, various wearable personal devices such as a smart watch have been developed and these personal devices are being miniaturized. The user desires to receive new services from personal devices as well as services that have been received from personal computers, anytime and anywhere. However, miniaturization of devices involves constraints on resources such as limited input and output and insufficient power. In order to solve these resource constraints, this paper proposes a resource collaboration system which provides a service by composing sharable resources in the resource sharing environment like IoT. the paper also propose a method to infer and recommend user-customized resources among various sharable resources. For this purpose, the paper defines an ontology for resource inference. This paper also classifies users behavior types based on a user model and then uses them for resource recommendation. The paper implements the proposed method as a prototype system on a personal device with limited resources developed for resource collaboration and shows the effectiveness of the proposed method by evaluating user satisfaction.

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This paper was written with support from the National Research Foundation of Korea.
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