Skip to main content
Kent Academic Repository

Conceptual modelling: Knowledge acquisition and model abstraction

Kotiadis, Kathy, Robinson, Stewart (2008) Conceptual modelling: Knowledge acquisition and model abstraction. In: Mason, S. and Hill, R. and Monch, L. and Rose, O., eds. Proceedings - Winter Simulation Conference. 2008 Winter Simulation Conference. . pp. 951-958. IEEE, Miami, USA (doi:10.1109/WSC.2008.4736161) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91500)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/DOI: 10.1109/WSC.2008.4736161

Abstract

Conceptual modelling has gained a lot of interest in recent years and simulation modellers are particularly interested in understanding the processes involved in arriving at a conceptual model. This paper contributes to this understanding by discussing the artifacts of conceptual modelling and two specific conceptual modelling processes: knowledge acquisition and model abstraction. Knowledge acquisition is the process of finding out about the problem situation and arriving at a system description. Model abstraction refers to the simplifications made in moving from a system description to a conceptual model. Soft Systems Methodology has tools that can help a modeller with knowledge acquisition and model abstraction. These tools are drawing rich pictures, undertaking analyses `one', `two', `three', and constructing a root definition and the corresponding purposeful activity model. The use of these tools is discussed with respect to a case study in health care.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/WSC.2008.4736161
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Kathy Kotiadis
Date Deposited: 10 Nov 2021 15:42 UTC
Last Modified: 05 Nov 2024 12:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91500 (The current URI for this page, for reference purposes)

University of Kent Author Information

  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.