Abstract
Users, nowadays, are highly educated and trained, therefore, they are eager to solve ordinary problems by themselves without waiting expert’s assistance. To fulfill these needs, the service of knowledge support must be provided in accurate and timely manners. The knowledge service needs to be not only preceded in itself without users’ efforts to search what they want to know, but also delivered pervasively whenever and wherever the users are. Therefore, this paper proposes a framework of autonomous knowledge service, which autonomously provides proper knowledge to users by automatically identifying users’ needs and situations. To provide knowledge services in a pervasive manner, a mobile network technology is additionally applied to the proposed framework. Autonomous as well as pervasive knowledge service can fulfill users’ needs for computing services in the future, and hence underpin the foundation of intelligent, however more human-centered knowledge-based living environments.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Henricksen, K., Indulska, J.: Developing context-aware pervasive computing applications: Models and approach. Pervasive and Mobile Computing 2(1), 37–64 (2006)
Kang, H., Suh, E., Yoo, K.: Packet-based context aware system to determine information system user’s context. Expert Systems with Applications 35(1-2), 286–300 (2008)
Kim, S., Suh, E., Yoo, K.: A study of context inference on the Web-based information systems. Electronic Commerce Research and Applications 6, 146–158 (2007)
Korpipää, P., Mäntyjärvi, J., Kela, J., Keränen, H., Malm, E.: Managing Context Information in Mobile Devices. IEEE Pervasive Computing 2(3), 42–51 (2003)
Kwon, O., Yoo, K., Suh, E.: ubiDSS: A Proactive Intelligent Decision Support System as an Expert System Deploying Ubiquitous Computing Technologies. Expert Systems with Applications 28(1), 149–161 (2005)
Kwon, O., Yoo, K., Suh, E.: ubiES: Applying Ubiquitous Computing Technologies to An Expert System for Context-Aware Proactive Services. Electronic Commerce Research and Applications 5(2), 209–219 (2006)
Ranganathan, A., Al-Muhtadi, J., Campbell, R.H.: Reasoning about uncertain contexts in pervasive computing environments. IEEE Pervasive Computing 3(2), 62–70 (2004)
Ranganathan, A., Campbell, R.H., Ravi, A., Mahajan, A.: ConChat: A context aware chat program. IEEE Pervasive Computing 1(3), 51–57 (2002)
Wang, X., Dong, J.S., Chin, C.Y., Hettiachchi, S.R.: Semantic space: An infrastructure for smart spaces. IEEE Pervasive Computing 3(3), 32–39 (2004)
Yoo, K.: Autonomous knowledge acquisition methodology using knowledge workers’ context information: Focused on the acquisition of dialogue-based knowledge for the next generation knowledge management systems. Journal of Korea Knowledge Management Society 9(4), 65–75 (2008)
Yoo, K., Kwon, O.: Vision and research challenges of the next generation knowledge management systems: A pervasive computing technology perspective. Journal of Korea Knowledge Management Society 10(1), 1–15 (2009)
Yoo, K., Suh, E., Kim, K.Y.: Knowledge flow-based business process redesign: Applying a knowledge map to redesign a business process. Journal of Knowledge Management 11(3), 104–125 (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Yoo, K. (2013). Autonomous and Pervasive Computing-Based Knowledge Service. In: Gaol, F. (eds) Recent Progress in Data Engineering and Internet Technology. Lecture Notes in Electrical Engineering, vol 156. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28807-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-28807-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28806-7
Online ISBN: 978-3-642-28807-4
eBook Packages: EngineeringEngineering (R0)