Discovering the gaps in enterprise systems via conceptual graphs and formal concept analysis

POLOVINA, Simon, SCHERUHN, Hans-Jürgen, WEIDNER, Stefan and VON ROSING, Mark (2016). Discovering the gaps in enterprise systems via conceptual graphs and formal concept analysis. In: HAEMMERLÉ, Ollivier, STAPLETON, Gem and ZUCKER, Catherine Faron, (eds.) Poster proceedings The 22nd International Conference on Conceptual Structures (ICCS 2016). ICCS.

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Abstract

Enterprise systems such as SAP are software applications that are intended to bring the productivity of computers to bear on the human endeavour of enterprise. An industrial-strength SAP enterprise information model was rendered as meta-object!relation!meta-object in Conceptual Graphs (CGs). Then Formal Concept Analysis (FCA)'s CGtoFCA algorithm was used to generate the meta-objectarelation!metaobject binaries, revealing gaps in some of model's key performance indicators that human decision-makers need to realise the enterprise's vision.

Item Type:	Book Section
Additional Information:	Paper 44
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018:	Faculty of Science, Technology and Arts > Department of Computing
Depositing User:	Helen Garner
Date Deposited:	29 Jul 2016 15:39
Last Modified:	18 Mar 2021 06:46
URI:	https://shura.shu.ac.uk/id/eprint/13069

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