Managing Knowledge in Light of Its Evolution Process: An Empirical Study on Citation Network--Based Patent Classification.

Author List: Li, Xin; Chen, Hsinchun; Zhang, Zhu; Li, Jiexun; Nunamaker, Jr., Jay F.;

Journal of Management Information Systems, 2009, Volume 26, Issue 1, Page 129-153.

Knowledge management is essential to modern organizations. Due to the information overload problem, managers are facing critical challenges in utilizing the data in organizations. Although several automated tools have been applied, previous applications often deem knowledge items independent and use solely contents, which may limit their analysis abilities. This study focuses on the process of knowledge evolution and proposes to incorporate this perspective into knowledge management tasks. Using a patent classification task as an example, we represent knowledge evolution processes with patent citations and introduce a labeled citation graph kernel to classify patents under a kernel-based machine learning framework. In the experimental study, our proposed approach shows more than 30 percent improvement in classification accuracy compared to traditional content-based methods. The approach can potentially affect the existing patent management procedures. Moreover, this research lends strong support to considering knowledge evolution processes in other knowledge management tasks.

Keywords: citation analysis; classification; kernel-based method; knowledge management; machine learning; patent management

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List of Topics

#53	0.206	knowledge application management domain processes kms systems study different use domains role comprehension effective types draw scope furthermore level levels
#250	0.185	enterprise improvement organizations process applications metaphors packaged technology organization help knows extends improved overcoming package learning better evolution build lead
#215	0.182	data classification statistical regression mining models neural methods using analysis techniques performance predictive networks accuracy method variables prediction problem measure
#37	0.106	intelligence business discovery framework text knowledge new existing visualization based analyzing mining genetic algorithms related techniques large proposed novel artificial
#44	0.097	approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various
#150	0.062	issues management systems information key managers executives senior corporate important importance survey critical corporations multinational managing interviews study results concerns