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: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Depositing User: Helen Garner
Date Deposited: 29 Jul 2016 15:39
Last Modified: 02 Dec 2016 16:54
URI: http://shura.shu.ac.uk/id/eprint/13069

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