Thomas M. Cover
IEEE Trans. Inf. Theory
Knowledge management is often seen as a problem of capturing, organizing, and retrieving information, evoking notions of data mining, text clustering, databases, and documents. We believe that this view is too simple. Knowledge is inextricably bound up with human cognition, and the management of knowledge occurs within an intricately structured social context. We argue that it is essential for those designing knowledge management systems to consider the human and social factors at play in the production and use of knowledge. We review work - ranging from basic research to applied techniques - that emphasizes cognitive and social factors in knowledge management. We then describe two approaches to designing socially informed knowledge management systems, social computing and knowledge socialization.
Thomas M. Cover
IEEE Trans. Inf. Theory
Michael Ray, Yves C. Martin
Proceedings of SPIE - The International Society for Optical Engineering
Xinyi Su, Guangyu He, et al.
Dianli Xitong Zidonghua/Automation of Electric Power Systems
Lixi Zhou, Jiaqing Chen, et al.
VLDB