Extraction of implicit context information in ubiquitous computing environments
- Authors
- Paik, J[Paik, Juryon]; Youn, HY[Youn, Hee Yong]; Kim, UM[Kim, Ung Mo]
- Issue Date
- 2006
- Publisher
- SPRINGER-VERLAG BERLIN
- Citation
- COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 4, v.3983, pp.456 - 465
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2006, PT 4
- Volume
- 3983
- Start Page
- 456
- End Page
- 465
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/89003
- ISSN
- 0302-9743
- Abstract
- The evolution of low-cost, networked sensors, often directly internet-enabled, is bringing truly ubiquitous smart environments into daily life. The more ubiquitous middleware platform is intelligent, the greater context information flood problem has been caused. Hence, there have been increasing demands for efficient methods of discovering desirable knowledge from a large collection of context data. But unfortunately, current ubiquitous middleware platforms do not employ appropriate data mining techniques to meet such growing demands. Therefore, this paper aims to propose a new design of ubiquitous middleware platform that enhances context awareness in evolving pervasive environments. We achieve this goal first by incorporating a mining module into our previously suggested middleware platform CALM (Component-based Autonomic Layered Middleware) and then by instantiating the module with an efficient mining algorithm.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Computing and Informatics > Computer Science and Engineering > 1. Journal Articles
- Software > Software > 1. Journal Articles
- Information and Communication Engineering > Department of Computer Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.