Task-Oriented mobile service recommendation enhanced by a situational reasoning engine

Authors:
Takefumi Naganuma;Marko Luther;Matthias Wagner;Atsuki Tomioka;Kunihiro Fujii;Yusuke Fukazawa;Shoji Kurakake
Affiliations:
Network Laboratories, NTT DoCoMo Inc., Kanagawa, Japan;Future Networking Lab, DoCoMo Communications Laboratories Europe GmbH, Munich, Germany;Future Networking Lab, DoCoMo Communications Laboratories Europe GmbH, Munich, Germany;Network Laboratories, NTT DoCoMo Inc., Kanagawa, Japan;Network Laboratories, NTT DoCoMo Inc., Kanagawa, Japan;Network Laboratories, NTT DoCoMo Inc., Kanagawa, Japan;Network Laboratories, NTT DoCoMo Inc., Kanagawa, Japan
Venue:
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Year:
2006

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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.