Enhancing the Diamond Document Warehouse Model

Maha Azabou, Ameen Banjar and Jamel Omar Feki
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Maha Azabou: Faculty of Economics and Management, University of Sfax, Tunisia
Ameen Banjar: College of Computer Science and Engineering, University of Jeddah, Saudi Arabia
Jamel Omar Feki: College of Computer Science and Engineering, University of Jeddah, Saudi Arabia

International Journal of Data Warehousing and Mining (IJDWM), 2020, vol. 16, issue 4, 1-25

Abstract: The data warehouse community has paid particular attention to the document warehouse (DocW) paradigm during the last two decades. However, some important issues related to the semantics are still pending and therefore need a deep research investigation. Indeed, the semantic exploitation of the DocW is not yet mature despite it representing a main concern for decision-makers. This paper aims to enhancing the multidimensional model called Diamond Document Warehouse Model with semantics aspects; in particular, it suggests semantic OLAP (on-line analytical processing) operators for querying the DocW.

Date: 2020
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