Facilitating Cooperative Knowledge Support by Role-Based Knowledge-Flow Views
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.
[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.
[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.
@article{"International Journal of Business, Human and Social Sciences:56343", author = "Chih-Wei Lin and Duen-Ren Liu and Hui-Fang Chen", title = "Facilitating Cooperative Knowledge Support by Role-Based Knowledge-Flow Views", 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", volume = "5", number = "9", pages = "1165-8", }
