A Framework for Knowledge Models Transformation: A Step Towards Knowledge Integration and Warehousing

Rim Ayadi, Yasser Hachaichi and Jamel Feki
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Rim Ayadi: Multimedia Information Systems and Advanced Computing Laboratory, University of Sfax, Sfax, Tunisia
Yasser Hachaichi: Multimedia Information Systems and Advanced Computing Laboratory, University of Sfax, Sfax, Tunisia†Department of Computer Science and Quantitative Methods, Higher Institute of Business Administration of Sfax, Sfax, Tunisia
Jamel Feki: Multimedia Information Systems and Advanced Computing Laboratory, University of Sfax, Sfax, Tunisia‡Faculty of Computing and IT, University of Jeddah, Jeddah, Saudi Arabia

Journal of Information & Knowledge Management (JIKM), 2019, vol. 18, issue 02, 1-37

Abstract: An intelligent decision support system should based on a knowledge warehouse (KW). A KW gathers knowledge initially expressed in different formalisms and therefore heterogeneous. Consequently, the KW building process requires knowledge homogenisation. This paper deals with this main issue; it introduces a three-layer architecture for a KW; more precisely, it focuses on the first layer architecture called Knowledge Acquisition and Transformation. This layer aims to transform heterogeneous knowledge models into the MOT (Modeling with Object Types) semi-formal language [Paquette, G (2002). Knowledge and Skills Modeling: A Graphical Language for Designing and Learning. Sainte-Foy: University of Quebec Press (in French).] that we have selected as a pivot knowledge model. For this transformation step, first, we design four meta-models; one for MOT and one for each of the three explicit knowledge models, namely, decision tree, association rules and clustering. Secondly, we define 15 transformation rules that we formalise in ATL (Atlas Transformation Language). Finally, we exemplify the knowledge transformation in order to show its usefulness for the KW building process.

Keywords: Knowledge warehouse; data mining; knowledge model; heterogeneous knowledge models; transformation rules; MOT language (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1142/S0219649219500254

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