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Hybrid reasoning technique for improving context-aware applications

Matthias Strobbe (UGent) , Olivier Van Laere (UGent) , Bart Dhoedt (UGent) , Filip De Turck (UGent) and Piet Demeester (UGent)
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Abstract
With the rapid adoption of GPS enabled smart phones and the fact that users are almost permanently connected to the Internet, an evolution is observed toward applications and services that adapt themselves using the user's context, a.o. taking into account location information. To facilitate the development of such new intelligent applications, new enabling platforms are needed to collect, distribute, and exchange context information. An important aspect of such platforms is the derivation of new, high-level knowledge by combining different types of context information using reasoning techniques. In this paper, we present a new approach to derive context information by combining case-based and rule-based reasoning. Two use cases are detailed where both reasoners are used to derive extra useful information. For the desk sharing office use case, the combination of rule-based and case-based reasoning allows to automatically learn typical trajectories of a user and improve localization on such trajects with 42%. In both use cases, the hybrid approach is shown to provide a significant improvement.
Keywords
SYSTEM, Case-based reasoning, INFORMATION, Rule-based reasoning, Context-aware services, Location-based services, User profiling

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Citation

Please use this url to cite or link to this publication:

MLA
Strobbe, Matthias et al. “Hybrid Reasoning Technique for Improving Context-aware Applications.” KNOWLEDGE AND INFORMATION SYSTEMS 31.3 (2012): 581–616. Print.
APA
Strobbe, M., Van Laere, O., Dhoedt, B., De Turck, F., & Demeester, P. (2012). Hybrid reasoning technique for improving context-aware applications. KNOWLEDGE AND INFORMATION SYSTEMS, 31(3), 581–616.
Chicago author-date
Strobbe, Matthias, Olivier Van Laere, Bart Dhoedt, Filip De Turck, and Piet Demeester. 2012. “Hybrid Reasoning Technique for Improving Context-aware Applications.” Knowledge and Information Systems 31 (3): 581–616.
Chicago author-date (all authors)
Strobbe, Matthias, Olivier Van Laere, Bart Dhoedt, Filip De Turck, and Piet Demeester. 2012. “Hybrid Reasoning Technique for Improving Context-aware Applications.” Knowledge and Information Systems 31 (3): 581–616.
Vancouver
1.
Strobbe M, Van Laere O, Dhoedt B, De Turck F, Demeester P. Hybrid reasoning technique for improving context-aware applications. KNOWLEDGE AND INFORMATION SYSTEMS. 2012;31(3):581–616.
IEEE
[1]
M. Strobbe, O. Van Laere, B. Dhoedt, F. De Turck, and P. Demeester, “Hybrid reasoning technique for improving context-aware applications,” KNOWLEDGE AND INFORMATION SYSTEMS, vol. 31, no. 3, pp. 581–616, 2012.
@article{2915631,
  abstract     = {With the rapid adoption of GPS enabled smart phones and the fact that users are almost permanently connected to the Internet, an evolution is observed toward applications and services that adapt themselves using the user's context, a.o. taking into account location information. To facilitate the development of such new intelligent applications, new enabling platforms are needed to collect, distribute, and exchange context information. An important aspect of such platforms is the derivation of new, high-level knowledge by combining different types of context information using reasoning techniques. In this paper, we present a new approach to derive context information by combining case-based and rule-based reasoning. Two use cases are detailed where both reasoners are used to derive extra useful information. For the desk sharing office use case, the combination of rule-based and case-based reasoning allows to automatically learn typical trajectories of a user and improve localization on such trajects with 42%. In both use cases, the hybrid approach is shown to provide a significant improvement.},
  author       = {Strobbe, Matthias and Van Laere, Olivier and Dhoedt, Bart and De Turck, Filip and Demeester, Piet},
  issn         = {0219-1377},
  journal      = {KNOWLEDGE AND INFORMATION SYSTEMS},
  keywords     = {SYSTEM,Case-based reasoning,INFORMATION,Rule-based reasoning,Context-aware services,Location-based services,User profiling},
  language     = {eng},
  number       = {3},
  pages        = {581--616},
  title        = {Hybrid reasoning technique for improving context-aware applications},
  url          = {http://dx.doi.org/10.1007/s10115-011-0411-7},
  volume       = {31},
  year         = {2012},
}

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