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Semantically Modeling Mobile Phone Data for Urban Computing

  • Hui Wang
  • Zhisheng Huang
  • Ning Zhong
  • Jiajin Huang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8210)

Abstract

Urban computing aims to enhance both human life and urban environment smartly by deeply understanding human behavior occurring in urban area. Nowadays, mobile phones are often used as an attractive option for large-scale sensing of human behavior, providing a source of real and reliable data for urban computing. But analyzing the data also faces some challenges (e.g., the related data is heterogeneous and very big), and the general approaches cannot deal with them efficiently. In this paper, aiming to tackle these challenges and conduct urban computing efficiently, we propose a data integration model for the multi-source heterogeneous data related to mobile phones by using semantic technology and develop a semantic mobile data management system.

Keywords

Mobile Phone Resource Description Framework Ontology Modeling SPARQL Query Semantic Technology 
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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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Hui Wang
    • 1
  • Zhisheng Huang
    • 1
    • 2
  • Ning Zhong
    • 1
    • 3
  • Jiajin Huang
    • 1
  1. 1.International WIC InstituteBeijing University of TechnologyBeijingChina
  2. 2.Dept. of Computer ScienceVrije University of AmsterdamAmsterdamThe Netherlands
  3. 3.Dept. of Life Science and InformaticsMaebashi Institute of TechnologyMaebashi-CityJapan

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