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Task-Oriented Mobile Service Recommendation Enhanced by a Situational Reasoning Engine

  • Takefumi Naganuma
  • Marko Luther
  • Matthias Wagner
  • Atsuki Tomioka
  • Kunihiro Fujii
  • Yusuke Fukazawa
  • Shoji Kurakake
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4185)

Abstract

In this paper, we propose a system that recommends appropriate mobile services from the viewpoint of the user’s task which fits with user’s situation in the real world. Key components are a situation provider that reason on user situation based on context gathered from multiple sources, and a task knowledge base which stores semantic task descriptions of what actions the mobile user is likely to perform in daily life. We present the architecture of the proposed system; the situational reasoning engine which makes use of context ontologies represented using OWL, and the task knowledge base which stores OWL-S-based descriptions of the user’s tasks in the real world. Finally, we describe a prototypical implementation and some realized use cases.

Keywords

Service Recommendation Task Knowledge Context Ontology Amusement Park Task Navigator 
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-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Takefumi Naganuma
    • 1
  • Marko Luther
    • 2
  • Matthias Wagner
    • 2
  • Atsuki Tomioka
    • 1
  • Kunihiro Fujii
    • 1
  • Yusuke Fukazawa
    • 1
  • Shoji Kurakake
    • 1
  1. 1.Network LaboratoriesNTT DoCoMo Inc.KanagawaJapan
  2. 2.Future Networking LabDoCoMo Communications Laboratories Europe GmbHMunichGermany

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