Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Facilitating Cooperative Knowledge Support by Role-Based Knowledge-Flow Views

Authors: Chih-Wei Lin, Duen-Ren Liu, Hui-Fang Chen

Abstract:

Effective knowledge support relies on providing operation-relevant knowledge to workers promptly and accurately. A knowledge flow represents an individual-s or a group-s knowledge-needs and referencing behavior of codified knowledge during operation performance. The flow has been utilized to facilitate organizational knowledge support by illustrating workers- knowledge-needs systematically and precisely. However, conventional knowledge-flow models cannot work well in cooperative teams, which team members usually have diverse knowledge-needs in terms of roles. The reason is that those models only provide one single view to all participants and do not reflect individual knowledge-needs in flows. Hence, we propose a role-based knowledge-flow view model in this work. The model builds knowledge-flow views (or virtual knowledge flows) by creating appropriate virtual knowledge nodes and generalizing knowledge concepts to required concept levels. The customized views could represent individual role-s knowledge-needs in teamwork context. The novel model indicates knowledge-needs in condensed representation from a roles perspective and enhances the efficiency of cooperative knowledge support in organizations.

Keywords: cooperative knowledge support, knowledge flow, knowledge-flow view, role-based models

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333476

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 925

References:


[1] I. C. Wu, D. R. Liu, and P. C. Chang, "Learning dynamic information needs: a collaborative topic variation inspection approach," Journal of the American Society for Information Science and Technology, vol. 60, pp. 2430-2451, 2009.
[2] C. H. Lai and D. R. Liu, "Integrating knowledge flow mining and collaborative filtering to support document recommendation," Journal of Systems and Software, vol. 82, pp. 2023-2037, 2009.
[3] A. Abecker, A. Bernardi, H. Maus, M. Sintek, and C. Wenzel, "Information supply for business processes: coupling workflow with document analysis and information retrieval," Knowledge-Based Systems, vol. 13, pp. 271-284, 2000.
[4] P. Balatsoukas and P. Demian, "Effects of granularity of search results on the relevance judgment behavior of engineers: Building systems for retrieval and understanding of context," Journal of the American Society for Information Science and Technology, vol. 61, pp. 453-467, 2010.
[5] D. R. Liu and I. C. Wu, "Collaborative relevance assessment for task-based knowledge support," Decision Support Systems, vol. 44, pp. 524-543, 2008.
[6] S. Kim, H. Hwang, and E. Suh, "A process-based approach to knowledge-flow analysis: a case study of a manufacturing firm," Knowledge and Process Management, vol. 10, pp. 260-276, 2003.
[7] D. R. Liu and C. H. Lai, "Mining group-based knowledge flows for sharing task knowledge," Decision Support Systems, vol. 50, pp. 370-386, 2011.
[8] X. Luo, Q. Hu, W. Xu, and Z. Yu, "Discovery of textual knowledge flow based on the management of knowledge maps," Concurrency and Computation: Practice and Experience, vol. 20, pp. 1791-1806, 2008.
[9] H. Zhuge, "Discovery of knowledge flow in science," Communications of the ACM, vol. 49, pp. 101-107, 2006.
[10] H. Zhuge, "Knowledge flow management for distributed team software development," Knowledge-Based Systems, vol. 15, pp. 465-471, 2002.
[11] H. Zhuge, "A knowledge flow model for peer-to-peer team knowledge sharing and management," Expert Systems with Applications, vol. 23, pp. 23-30, 2002.
[12] C. W. Lin, D. R. Liu, and H. F. Chen, "Modeling knowledge-flow view for knowledge support in teamwork," in Proceedings of the 21st IASTED International Conference on Modelling and Simulation., Banff, Alberta, Canada, 2010.
[13] V. Sambamurthy and M. Subramani, "Special issue on information technologies and knowledge management," MIS Quarterly, vol. 29, pp. 1-7, 2005.
[14] A. Abecker, A. Bernardi, K. Hinkelmann, O. Kuhn, and M. Sintek, "Context-aware, proactive delivery of task-specific information: the knowmore project," Information Systems Frontiers, vol. 2, pp. 253-276, 2000.
[15] W. Zhao and W. Dai, "Integrated modeling of business processes and knowledge flow based on RAD," in IEEE International Symposium on Knowledge Acquisition and Modeling Workshop, China, 2008, pp. 49-53.
[16] D. R. Liu and M. Shen, "Workflow modeling for virtual processes: an order-preserving process-view approach," Information Systems, vol. 28, pp. 505-532, 2003.
[17] R. Eshuis and P. Grefen, "Constructing customized process views," Data & Knowledge Engineering, vol. 64, pp. 419-438, 2008.
[18] M. Shen and D. R. Liu, "Discovering role-relevant process-views for disseminating process knowledge," Expert Systems with Applications, vol. 26, pp. 301-310, 2004.
[19] D. F. Ferraiolo, R. Sandhu, S. Gavrila, D. R. Kuhn, and R. Chandramouli, "Proposed NIST standard for role-based access control," ACM Transactions on Information and System Security, vol. 4, pp. 224-274, 2001.
[20] E. Y. Li, T. C. Du, and J. W. Wong, "Access control in collaborative commerce," Decision Support Systems, vol. 43, pp. 675-685, 2007.