Abstract
It is important to consider both location and time information which is related to all object and user activity to supply suitable services to users in ubiquitous computing environments. In this paper, we design a spatial-temporal ontology considering user context and propose system architecture for active mining user activity and service pattern. The proposed system is a framework for active mining user activity and service pattern by considering the relation between user context and object based on trigger system.
Funding for this paper was provided by Namseoul university.
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Hwang, J.H., Gu, M.S. (2011). A Framework for Active Service Pattern Mining. In: Kim, Th., et al. Grid and Distributed Computing. GDC 2011. Communications in Computer and Information Science, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27180-9_27
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DOI: https://doi.org/10.1007/978-3-642-27180-9_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27179-3
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