|
|
Digital Library of the
European Council for Modelling and Simulation |
|
Title: |
Using Aggregation For Automatic Identification Of Work Processes In The
Managerial Hierarchy |
|
Authors: |
Bahadir Kaan Ozütam |
|
Published in:
|
ECMS
2007 Proceedings Edited
by: Ivan Zelinka, Zuzana Oplatkova, Alessandra Orsoni ISBN:
978-0-9553018-2-7 Doi: 10.7148/2007 21st European
Conference on Modelling and Simulation, Prague, June
4-6, 2007 |
|
Citation
format: |
Oezuetam, B. K. (2007). Using Aggregation
For Automatic Identification Of Work Processes In The Managerial Hierarchy.
ECMS 2007 Proceedings edited by: I. Zelinka, Z. Oplatkova, A. Orsoni
(pp. 616-622). European Council for Modeling and Simulation. doi:10.7148/2007-0616. |
|
DOI: |
http://dx.doi.org/10.7148/2007-0616 |
|
Abstract: |
Aggregation is a qualitative
reasoning technique which replaces repetitive cycles
of process instances with a higher level description of a single continuous
process. We investigate how this AI method can be used in the modeling and
simulation of social organizations. Different levels of an organization such
as first level employees, middle management, and top management view the
available information using different degrees of abstraction. These different
levels thus have different ontologies Our approach
involves starting with descriptions of low-level work processes and using the
automatic abstraction mechanism to come up with higher
level process descriptions employing ontologies
with fewer details. The output of our aggregator provides a suggestion for
how a hierarchy of tasks might be constructed in that organization. |
|
Full
text: |
|
