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Open AccessReview

Context Representation and Fusion: Advancements and Opportunities

Department of Computer Engineering, Kyung Hee University, Yongin-si 446-701, Korea
Division of Information and Computer Engineering, Ajou University, Suwon-si 443-749, Korea
Department of Computer Intelligence Research, Korea Institute of Science and Technology Information (KISTI), Daejeon-si 305-806, Korea
Author to whom correspondence should be addressed.
Sensors 2014, 14(6), 9628-9668;
Received: 25 January 2014 / Revised: 10 May 2014 / Accepted: 26 May 2014 / Published: 30 May 2014
(This article belongs to the Special Issue Sensors Data Fusion for Healthcare)
The acceptance and usability of context-aware systems have given them the edge of wide use in various domains and has also attracted the attention of researchers in the area of context-aware computing. Making user context information available to such systems is the center of attention. However, there is very little emphasis given to the process of context representation and context fusion which are integral parts of context-aware systems. Context representation and fusion facilitate in recognizing the dependency/relationship of one data source on another to extract a better understanding of user context. The problem is more critical when data is emerging from heterogeneous sources of diverse nature like sensors, user profiles, and social interactions and also at different timestamps. Both the processes of context representation and fusion are followed in one way or another; however, they are not discussed explicitly for the realization of context-aware systems. In other words most of the context-aware systems underestimate the importance context representation and fusion. This research has explicitly focused on the importance of both the processes of context representation and fusion and has streamlined their existence in the overall architecture of context-aware systems’ design and development. Various applications of context representation and fusion in context-aware systems are also highlighted in this research. A detailed review on both the processes is provided in this research with their applications. Future research directions (challenges) are also highlighted which needs proper attention for the purpose of achieving the goal of realizing context-aware systems. View Full-Text
Keywords: sensors; context; context representation; context fusion; u-healthcare sensors; context; context representation; context fusion; u-healthcare
MDPI and ACS Style

Khattak, A.M.; Akbar, N.; Aazam, M.; Ali, T.; Khan, A.M.; Jeon, S.; Hwang, M.; Lee, S. Context Representation and Fusion: Advancements and Opportunities. Sensors 2014, 14, 9628-9668.

AMA Style

Khattak AM, Akbar N, Aazam M, Ali T, Khan AM, Jeon S, Hwang M, Lee S. Context Representation and Fusion: Advancements and Opportunities. Sensors. 2014; 14(6):9628-9668.

Chicago/Turabian Style

Khattak, Asad M.; Akbar, Noman; Aazam, Mohammad; Ali, Taqdir; Khan, Adil M.; Jeon, Seokhee; Hwang, Myunggwon; Lee, Sungyoung. 2014. "Context Representation and Fusion: Advancements and Opportunities" Sensors 14, no. 6: 9628-9668.

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