The American workforce is aging and much knowledge is still stored within the workforce itself. Loss of key components of this workforce will leave companies with gaps in the knowledge they need to implement the systems they develop; in some cases, causing them to make errors or learn lessons that are part of the existing workforce's understanding of standard practices.
PROJECT TITLE :Model of human knowledge extraction for a KBS using reasoning casesABSTRACT:In this paper, results from a model capturing the knowledge from somebody's being are presented. The model is made to develop a Knowledge-Based
The American workforce is aging and much knowledge is still stored within the workforce itself. Loss of key components of this workforce will leave companies with gaps in the knowledge they need to implement the systems they develop; in some cases, causing them to make errors or learn lessons that are 
part of the existing workforce's understanding of standard practices.
PROJECT TITLE :Model of human knowledge extraction for a KBS using reasoning casesABSTRACT:In this paper, results from a model capturing the knowledge from somebody's being are presented. The model is made to develop a Knowledge-Based