Human Capital Management Strategies - Part 3

This is the final post in this Human Capital Management Strategy series addressing the topic of capturing worker knowledge. Traditionally the mission of capturing worker knowledge was done through the use of an Expert or knowledge base system. Expert systems showed great promise in capturing procedural and rule-based (if-then-else) knowledge in the fields of medicine in the diagnosis and treatment of diseases as well as in predicting credit risk, and financial forecasting. Over the last couple of years I have researched knowledge modeling techniques, specifically expanding the use of the Unified Modeling Language (UML) to model knowledge of workers in a specific domain and/or expertise in a specific role or function. UML is a commonly used notation in information technology for analyst, architects, designers and developers to design and model the behavior of software systems. This notation can be successfully leveraged to capture knowledge that will lead to the development of an expert systems and/or become a part of a knowledge management system to capture and deliver specific domain knowledge through out the organization. A resource to understand how UML can be leveraged to capture worker knowledge is my latest publication "UML for Developing Knowledge Management Systems". Other resources that address knowledge modeling can be accessed by the following links: http://www.ihmc.us/users/acanas/Publications/IKS2002/IKS.htm, http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10065/32280/01506442.pdf?arnumber=1506442 and http://www.tarrani.net/kate/docs/KnowledgeModeling.pdf. I am interested in obtaining your comments and feedback.

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The Knowledge Management (KM) Depot: Human Capital Management Strategies - Part 3

Tuesday, September 30, 2008

Human Capital Management Strategies - Part 3

This is the final post in this Human Capital Management Strategy series addressing the topic of capturing worker knowledge. Traditionally the mission of capturing worker knowledge was done through the use of an Expert or knowledge base system. Expert systems showed great promise in capturing procedural and rule-based (if-then-else) knowledge in the fields of medicine in the diagnosis and treatment of diseases as well as in predicting credit risk, and financial forecasting. Over the last couple of years I have researched knowledge modeling techniques, specifically expanding the use of the Unified Modeling Language (UML) to model knowledge of workers in a specific domain and/or expertise in a specific role or function. UML is a commonly used notation in information technology for analyst, architects, designers and developers to design and model the behavior of software systems. This notation can be successfully leveraged to capture knowledge that will lead to the development of an expert systems and/or become a part of a knowledge management system to capture and deliver specific domain knowledge through out the organization. A resource to understand how UML can be leveraged to capture worker knowledge is my latest publication "UML for Developing Knowledge Management Systems". Other resources that address knowledge modeling can be accessed by the following links: http://www.ihmc.us/users/acanas/Publications/IKS2002/IKS.htm, http://ieeexplore.ieee.org/Xplore/login.jsp?url=/iel5/10065/32280/01506442.pdf?arnumber=1506442 and http://www.tarrani.net/kate/docs/KnowledgeModeling.pdf. I am interested in obtaining your comments and feedback.

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2 Comments:

At October 2, 2008 at 9:29 AM , Blogger Windy said...

Tony, Thanks for posting. I found your work on KM insightful enough to recommend you to Chicago Mayor Daley's Technology Advisory Council. You truly are a Knowledge Management Rock Star!

 
At October 2, 2008 at 2:55 PM , Blogger Anthony J. Rhem Ph.D. said...

Thanks Windy for your recommmendation. I look forward to hopefully working with Mayor Daleys's Technology Advisory Council.

 

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