CCBR: Chaining Case Based Reasoning in Context-Aware Smart Home
Document Type
Conference Paper
Publication Date
4-2009
Publication Source
1st Asian Conference on Intelligent Information and Database Systems
Abstract
In ubiquitous computing environments like smart homes, context awareness is a very important component which aims at providing automatic services. This paper proposes chaining case based reasoning (CCBR) as the reasoning method which solves the vagueness of traditional case based reasoning (CBR) approach "In the certain case with more than one solution, we don’t know which solution or activity will be chosen to satisfy user's needs in smart home’s context."
The context's contents in a smart home are described in this paper. Also, we introduce the framework of context awareness based on CCBR and discuss the case representation, case adaptation, and similarity computation in detail. Our proposed CCBR integrated into the virtual smart home environment acquires knowledge about user actions that are recorded to determine their preferences and then simultaneously activates the devices with predefined settings.
Inclusive pages
453-458
ISBN/ISSN
978-0-7695-3580-7
Copyright
Copyright © 2009, IEEE
Publisher
IEEE
Place of Publication
Dong Hoi, Vietnam
eCommons Citation
Nguyen, Tam; Woo, Yi Chang; and Choi, Deokjai, "CCBR: Chaining Case Based Reasoning in Context-Aware Smart Home" (2009). Computer Science Faculty Publications. 63.
https://ecommons.udayton.edu/cps_fac_pub/63
COinS
Comments
IEEE permits authors to archive the final manuscripts of papers accepted for presentation at its affiliated conferences. Permission documentation is on file. Permission documentation is on file.