Enhancing the Diamond Document Warehouse Model

Enhancing the Diamond Document Warehouse Model

Maha Azabou, Ameen Banjar, Jamel Omar Feki
Copyright: © 2020 |Pages: 25
DOI: 10.4018/IJDWM.2020100101
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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.
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The majority of research works having addressed the document warehousing issues have tackled the modeling and OLAPing of documents. We classify the contributions of the literature into two main categories: i) Works using/extending the Multidimensional Model (MD), and ii) Works suggesting specific model.

The first category of works has adapted the conventional MD model initially suggested for numeric DWs; as examples we can cite the works of (Golfarelli, Maio, & Rizzi, 1998), (Kimball & Ross, 2003), (Inmon, 2005), and (Azabou, Khrouf, Feki, Soulé-Dupuy, & Vallès, 2017). Furthermore, in this category some authors have created data warehousing model, especially XML model, by processing XML raw documents into a specified data warehouse repository; such as (Rusu, Rahayu, & Taniar, 2004), (Rusu, Rahayu, & Taniar, 2005). Some other authors have enriched the conventional MD model with extensions specific to textual modeling and processing (Jin, Han, Cao, Luo, Ding, & Lin, 2010) and (Liu, Zhou, Pan, Qian, Cai, & Lian, 2009) for data-centric documents, whereas others like (Lin, Ding, Han, Zhu, & Zhao, 2008) extend the MD model for elaborating document-centric documents warehouses.

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