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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Rim Ayadi & Yasser Hachaichi & Jamel Feki, 2019. "A Framework for Knowledge Models Transformation: A Step Towards Knowledge Integration and Warehousing," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-37, June.
    • Handle: RePEc:wsi:jikmxx:v:18:y:2019:i:02:n:s0219649219500254
    DOI: 10.1142/S0219649219500254
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