Computer
The context fabric: an infrastructure for context-aware computing
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
Granular computing: an emerging paradigm
Granular computing: an emerging paradigm
Dimensions: why do we need a new data handling architecture for sensor networks?
ACM SIGCOMM Computer Communication Review
What we talk about when we talk about context
Personal and Ubiquitous Computing
Inferring Activities from Interactions with Objects
IEEE Pervasive Computing
A service-oriented middleware for building context-aware services
Journal of Network and Computer Applications
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Pattern Recognition Letters - Special issue: Advances in pattern recognition
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IEEE Pervasive Computing
ACM Computing Surveys (CSUR)
Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distributed Context Retrieval and Consistency Control in Pervasive Computing
Journal of Network and Systems Management
EgoSpaces: Facilitating Rapid Development of Context-Aware Mobile Applications
IEEE Transactions on Software Engineering
Context-Aware Computing Applications
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Human-Computer Interaction
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Human-Computer Interaction
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Pervasive and Mobile Computing
Self-organized control of knowledge generation in pervasive computing systems
Proceedings of the 2009 ACM symposium on Applied Computing
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Pervasive and Mobile Computing
A roadmap towards sustainable self-aware service systems
Proceedings of the 2010 ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems
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In this paper, we identify the key software engineering challenges introduced by the need of accessing and exploiting huge amount of heterogeneous contextual information. Following, we survey the relevant proposals in the area of context-aware pervasive computing, data mining and granular computing discussing their potentials and limitations with regard to their adoption in the development of context-aware pervasive services. On these bases, we propose the W4 model for contextual data and show how it can represent a simple yet effective model to enable flexible general-purpose management of contextual knowledge by pervasive services. A summarizing discussion and the identification of current limitations and open research directions conclude the paper.