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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Dey, A.K.: Providing Architectural Support for Building Context Aware Applications. Georgia Institute of Technology (2000)
Stoilos, G., Stamou, G., Pan, J.Z.: Fuzzy Reasoning Extensions. In: Knowledge Web Consortium (2007)
Chen, H., Wu, Z.: Semantic Web Meets Computational Intelligence: State of the Art and Perspectives. IEEE Computational Intelligence Magazine 7, 67–74 (2012)
Gao, M., Liu, C.: Extending OWL by Fuzzy Description Logic. In: 17th IEEE International Conference on Tools with Artificial Intelligence (2005)
Simou, N., Kollias, S.: FiRE: A Fuzzy Reasoning Engine for Impecise Knowledge. In: K-Space PhD Students Workshop (2007)
Simou, N., Stoilos, G., Stamou, G.: Storing and Querying Fuzzy Knowledge in the Semantic Web Using FiRE. In: Bobillo, F., Costa, P.C.G., d’Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2008-2010/UniDL 2010. LNCS, vol. 7123, pp. 158–176. Springer, Heidelberg (2013)
Huang, C., Lo, C., Chao, K.: Reaching consensus: A moderated fuzzy web services discovery method. Information and Software Technology 48, 410–423 (2006)
Stoilos, G., Stamou, G., Tzouvaras, V.: The fuzzy description logic f-SHIN. In: Proc. of the International Workshop on Uncertainty Reasoning for the Semantic Web (2005)
Pan, J.Z., Stamou, G., Stoilos, G., Thomas, E.: Fuzzy querying over fuzzy-DL-Lite. In: 17th International World-Wide-Web Conference, Beijing (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kang, D., Sohn, J., Kwon, K., Joo, BG., Chung, IJ. (2014). An Intelligent Dynamic Context-Aware System Using Fuzzy Semantic Language. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-40675-1_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
Online ISBN: 978-3-642-40675-1
eBook Packages: EngineeringEngineering (R0)