Title

XML-based modeling of corporate memory

Document Type

Article

Peer Reviewed

1

Publication Date

1-1-1997

Journal/Book/Conference Title

IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans

Volume

35

Abstract

Analytical knowledge is distributed among domain experts, analysts, and data-storage systems. Extracting such knowledge from databases is of interest to corporations. The traditional top-down development of corporate memory is not appropriate for modern organizations because of the distributed nature of information. This paper proposes models of analytical knowledge and new ways of developing corporate memory by using an extensible markup language (XML). It aims at efficient exploration of useful knowledge by mining the Web. The proposed approach of modeling analytical knowledge is explicit and sharable. The concepts introduced in the paper have been demonstrated with a manufacturing case study. 2005 IEEE.

Keywords

Sustainability, Analytical knowledge is distributed among domain experts, analysts, and data-storage systems. Extracting such knowledge from databases is of interest to corporations. The traditional top-down development of corporate memory is not appropriate for modern organizations because of the distributed nature of information. This paper proposes models of analytical knowledge and new ways of developing corporate memory by using an extensible markup language (XML). It aims at efficient exploration of useful knowledge by mining the Web. The proposed approach of modeling analytical knowledge is explicit and sharable. The concepts introduced in the paper have been demonstrated with a manufacturing case study. 2005 IEEE.



This document is currently not available here.

Share

COinS
 

URL

http://ir.uiowa.edu/cee_pubs/350