NDLI: Enhancing applicability of context-aware systems using agent-based hybrid inference approach

Content Provider	IEEE Xplore Digital Library
Author	Khedr, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Electron. & Commun., Arab Acad. of Sci. & Technol., Alexandria, Egypt (Khedr, M.)
Abstract	Context awareness promises to enhance the everyday life of mobile users. It will allow people to access information and services related to their current situations without the need to manually configure and instruct computer systems. To make this possible, we are proposing an agent-based, context aware framework that makes use of sensing technologies and wireless networking. In specific, the framework addresses the challenge of finding a common understanding of context and uses an approximate reasoning mechanism to provide higher level of context information used in personalizing services in the environment. The paper argues that, in order to facilitate context awareness, a set of core services is required. These services constitute of meta-context ontology, an inference engine based on fuzzy logic, and an inductive learning mechanism. Combined, these functionalities will provide a reconfigurable, interoperable, and adaptable framework that support context aware applications and the spontaneous situations occurring from explicit and implicit users' interactions with the environment.
Starting Page	2785
Ending Page	2789
File Size	771772
Page Count	5
File Format	PDF
ISBN	0780388879
ISSN	15502252
DOI	10.1109/VETECS.2005.1543854
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-05-30
Publisher Place	Sweden
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context awareness Context-aware services Multiagent systems Fuzzy logic Pervasive computing Inference mechanisms Mobile communication Wireless sensor networks Ontologies Search engines Internet reasoning services Semantic Web
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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