Abstract
Organizational employees have different knowledge demands and the knowledge is compound. So how to push the right compound knowledge to the right organizational employees becomes important. This paper attempts to propose a framework for compound knowledge push system for organizational employees to solve the problem. Firstly, the compound push mechanism is given out based on the analysis of the knowledge needs of organizational employees. Secondly, after introducing the key IT, the framework is presented with the illumination of every body’s function of the system. Finally, an application case is studied to illustrate the compound knowledge push system’s operation mechanism based on the framework. Applying the system can give the employees all-around knowledge backing, and it will enhance the knowledge management level of organizations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Tso, S.K., Lau, H.C.W., Ip, R.W.L.: Development of a Fuzzy Push Delivery Scheme For Internet Sites. Expert Systems 16(2), 103–114 (1999)
Liu, L., Pu, C., Tang, W.: Continual Queries for Internet Scale Event-Driven Information Delivery. IEEE Transactions on Knowledge and Data Engineering 11(4), 610–628 (1999)
Celik, A., Datta, A., Narasimhan, S.: Supporting Subscription Oriented Information Commerce in a Push-based Environment. IEEE Transactions on Systems, Man, and Cybernetics Part A: Systems and Humans 30(4), 433–445 (2000)
Acharya, S., Franklin, M., Zdonik, S.: Balancing Push and Pull for Data Broadcast. SIGMOD Record (ACM Special Interest Group on Management of Data) 26(2), 183–194 (1997)
Cai, J., Tan, K.L.: Tuning Integrated Dissemination-based Information Systems. Data and Knowledge Engineering 30(1), 1–21 (1999)
Underwood, G.M., Maglio, P.P., Barrett, R.: User-centered Push for Timely Information Delivery. Computer Networks and ISDN Systems 30(1-7), 33–41 (1998)
Lee, J.N., Kwok, R.C.W.: Fuzzy GSS Framework for Organizational Knowledge Acquisition. International Journal of Information Management 20(5), 383–398 (2000)
Woodridge, M., Jennings, N.R.: Intelligent Agents Theory and Practice. Knowledge Engineering Review 10(2), 115 (1995)
Van Elst, L., Dignum, V., Abecker, A.: Towards Agent-mediated Knowledge Management. In: van Elst, L., Dignum, V., Abecker, A. (eds.) AMKM 2003. LNCS (LNAI), vol. 2926, pp. 1–30. Springer, Heidelberg (2004)
Chen, J., Wolfe, S.R., Wragg, S.D.: A Distributed Multi-agent System for Collaborative Information Management and Sharing. In: Proceedings of the 9th ACM International Conference on Information and Knowledge Management (CIKM), pp. 382–388. ACM Press, McLean (2000)
Virginia, D., Hans, W., Lai, X.: Agent Societies: Towards Frameworks-based Design. In: Wooldridge, M.J., Weiß, G., Ciancarini, P. (eds.) AOSE 2001. LNCS, vol. 2222, pp. 33–49. Springer, Heidelberg (2002)
Kerschberg, L.: Knowledge rovers: Cooperative Intelligent Agent Support for Enterprise Information Architectures. In: Kandzia, P., Klusch, M. (eds.) CIA 1997. LNCS (LNAI), vol. 1202, pp. 79–100. Springer, Heidelberg (1997)
Berman, F.: From Teragrid to Knowledge Grid. Communications of the ACM 44(11), 27–28 (2001)
Zhuge, H.: China’s E-Science Knowledge Grid Context. IEEE Intelligent Systems 19(1), 13–17 (2004)
Zhuge, H.: A Knowledge Grid Model and Platform for Global Knowledge Sharing. Expert Systems with Application 22(4), 313–320 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Fan, ZP., Feng, Y., Sun, YH., Feng, B., You, TH. (2005). A Framework on Compound Knowledge Push System Oriented to Organizational Employees. In: Deng, X., Ye, Y. (eds) Internet and Network Economics. WINE 2005. Lecture Notes in Computer Science, vol 3828. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11600930_62
Download citation
DOI: https://doi.org/10.1007/11600930_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30900-0
Online ISBN: 978-3-540-32293-1
eBook Packages: Computer ScienceComputer Science (R0)