Abstract
In an effort to support the development of context-aware applications that use archived sensor data, we introduce the concept of the Context Cube based on techniques of data warehousing and data mining. Our implementation of the Context Cube provides a system that supports a multi-dimensional model of context data and with tools for accessing, interpreting and aggregating that data by using concept relationships defined within the real context of the application. We define the Context Cube information model, demonstrate functional applications that we have developed with the system, and explore possible applications that may be developed more easily using our tool.
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Harvel, L., Liu, L., Abowd, G.D., Lim, YX., Scheibe, C., Chatham, C. (2004). Context Cube: Flexible and Effective Manipulation of Sensed Context Data. In: Ferscha, A., Mattern, F. (eds) Pervasive Computing. Pervasive 2004. Lecture Notes in Computer Science, vol 3001. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24646-6_4
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DOI: https://doi.org/10.1007/978-3-540-24646-6_4
Publisher Name: Springer, Berlin, Heidelberg
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