Application Suite for Autonomous Management and Service of Verbal Knowledge

Keedong Yoo


Autonomous knowledge service, a fully-automated and pervasive service for knowledge acquisition and support based on the power of recent ITs is gaining tremendous interest more and more, as not only the level of users’ intelligence increases but also the maturity of IT infrastructure improves. Conventional approaches of knowledge service, however, could not satisfy users because they usually provided undesired knowledge which had been acquired without considering users’ want. In other words, knowledge acquisition and distribution were separately performed. This research, therefore, suggests an amended autonomous knowledge service framework by fully-automating the whole phases of knowledge life cycle, from knowledge acquisition to distribution. ASKs, the prototype system of this research, is also implemented by defining and specifying component technologies which constituently compose suggested framework. More user-friendly and applicable way of knowledge service will be derived and facilitated through this research.

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Davenport, T. H. and Prusak, L., Working Knowledge: How organizations manage what that know, Harvard Business School Press, ISBN 1-57851-301-4, 1998.

Kwan, M. M. and Balasubramanian, P., “Knowledge Scope: managing knowledge in context,” Decision Support Systems, Vol. 35, pp. 467-486, 2003.

Kwon, O. and Lee, J., “Text categorization based on k-nn approach for web site classification,” Information processing and management, Vol. 39, pp. 25-44, 2003.

Kwon, O., Yoo, K., and Suh, E., “ubiDSS: A Proactive Intelligent Decision Support System as an Expert System Deploying Ubiquitous Computing Technologies,” Expert Systems with Applications, Vol. 28 No. 1, pp. 149-161, 2005.

Kwon, O., Yoo, K., and Suh, E., “ubiES: Applying Ubiquitous Computing Technologies to An Expert System for Context-Aware Proactive Services,” Electronic Commerce Research and Applications, Vol. 5, No. 2, pp. 209-219, 2006.

Lee, G. and Kim, H., “Automated development of rank-based concept hierarchical structures using Wikipedia links”, The Journal of Society for e-Business Studies, Vol. 20 No. 4, pp. 61-76, 2015.

Lin, F. and Yu, J., “Visualized cognitive knowledge map integration for P2P networks,” Decision Support Systems, Vol. 46, pp. 774-785, 2009.

Nunes, V. T., Santoro, F. M., and Borges, M. R. S., “A context-based model for Knowledge Management embodied in work processes,” Information Sciences, Vol. 179, pp. 2538-2554, 2009.

Voida, S., Mynatt, E. D., MacIntyre, B., and Corso, G. M., “Integrating Virtual and Physical Context to Support Knowledge Workers,” IEEE Pervasive Computing, 1536-1268, pp. 73-79, 2002.

Yang, K. and Huh, S., “Automatic expert identification using a text categorization technique in knowledge management systems,” Expert Systems with Applications, Vol. 34, pp. 1445-1455, 2008.

Yoo, K., “Mobile device and virtual storage-based approach to automatically and pervasively acquire knowledge in dialogues,” Journal of Intelligence and Information Systems, Vol. 18 No. 2, pp. 1-17, 2012.

Yoo, K., “Capture knowledge on the spot: toward the autonomous and pervasive service of context-rich knowledge,” Automatika, Vol. 54, No. 4, pp. 401-414, 2013.

Zhou, J., Gilman, E., Palola, J., Riekki, J., Ylianttila, M., and Sun, J., “Context-aware pervasive service composition and its implementation,” Personal and Ubiquitous Computing, Vol. 15, pp. 291-303, 2011.


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