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An Intelligent Dynamic Context-Aware System Using Fuzzy Semantic Language

  • Daehyun Kang
  • Jongsoo Sohn
  • Kyunglag Kwon
  • Bok-Gyu Joo
  • In-Jeong Chung
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

Abstract

The prevalence of smart devices and the wireless Internet environment have enabled users to exploit environmental sensor data in a variety of fields. This has engendered various research issues in the development of context-awareness technology. In this paper, we propose a novel method where semantic web technology and the fuzzy concept are used to perform tasks that express and infer the user’s dynamic context, in distributed heterogeneous computing environments. The proposed method expresses environmental information using numerical values, and converts them into fuzzy OWL. Then, we make inferences based on the user context, using FiRE, a fuzzy inference engine. The suggested method allows us to describe user context information in heterogeneous environments. Because we use fuzzy concepts to represent contextual information, we can easily express its degree or status.

Keywords

Context-aware computing Fuzzy Knowledge Representation Inference Fuzzy Web Ontology Language (OWL) 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Daehyun Kang
    • 1
  • Jongsoo Sohn
    • 2
  • Kyunglag Kwon
    • 1
  • Bok-Gyu Joo
    • 3
  • In-Jeong Chung
    • 1
  1. 1.Department of Computer and Information ScienceKorea UniversitySeoulKorea
  2. 2.Service Strategy Team, Visual DisplaySamsung ElectronicsSuwonKorea
  3. 3.Department of Computer and Information CommunicationsHong-Ik UniversitySeoulKorea

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