Diamond multidimensional model and aggregation operators for document OLAP

Azabou, Maha; Khrouf, Kaïs; Feki, Jamel; Soulé-Dupuy, Chantal; Vallès, Nathalie

doi:10.1109/rcis.2015.7128897

Cited by 6 publications

(5 citation statements)

References 8 publications

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“…Reference [12] proposes two probabilistic measures in order to identify the dominant subject in all documents: P(wi|topic) constitutes the word distribution of a topic and P(topic|dj) defines the coverage by documents. Finally, Reference [1] proposes essentially three aggregation operators: List_Concept (list of the most used concepts), G_Concept (the most used generic concepts) and S_Concept (the most used specific concepts). The most related works on OLAP of documents propose aggregate functions, measures or operators applied on textual content.…”

Section: Literature Reviewmentioning

confidence: 99%

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Multidimensional Analysis of XML Documents: Modeling and Implementation

Khrouf¹

2019

IJETER

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In order to access, visualize, aggregate and analyze their data, the organizations generally use the techniques of data warehouses and OLAP (On-Line Analytical Processing). We distinguish two categories of data: structured (such: databases), and unstructured (such: Documents). In order to store and manage these both kinds of data, organizations exploit increasingly the advantages of XML (eXtensible Markup Language); it constitutes an important source for decision-makers to help them to interpret and control the evolution of their business processes. In this paper, we propose a new multidimensional model of semi-structured data (XML documents), based on complementary dimensions (Content, Metadata, Structure, Semantics…) and we integrate also the concept of Tag Cloud for visualizing multidimensional tables, in order to help the decision-makers to better analyze textual data in the result of the OLAP queries.

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Section: Literature Reviewmentioning

confidence: 99%

“…The task of decision makers becomes very complicates. Some works in the literature have proposed aggregation functions, Such Top_Concept [1] and Top_Kewyord [10]. In this paper, we propose to integrate the concept of Tag Cloud in the multidimensional tables (cf.…”

Section: Multidimensional Analysis: Implementationmentioning

confidence: 99%

Multidimensional Analysis of XML Documents: Modeling and Implementation

Khrouf¹

2019

IJETER

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“…In [7] the authors present a new multidimensional model, the diamond model, to store semi-structured XML data in an OLAP system. The model is composed of three layers: the standard layer is composed of dimensions whose properties are obtained from the document structure; the semantic layer is the central dimension which adds semantics to the textual content derived from documents; and the document layer which is derived from documents with similar structures.…”

Section: Related Researchmentioning

confidence: 99%

Generating cubes from smart city web data

Scriney

O’Connor

Roantree

2017

Proceedings of the Australasian Computer Science Week Multiconference

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A smart city necessitates the incorporation of data sources from multiple providers and data formats. Similar to the Internet Of Things, this data is primarily obtained from web streams producing XML or JSON data. Various combinations of data obtained from different providers can be used to enhance the lives of citizens with respect to different characteristics such as transport, city planning, the environment and housing. However, data provided from these streams is not necessarily in a format suitable for analysis and OLAP queries, despite the fact that these streams often provide measures and some elements of dimensionality often found in OLAP queries. In this research, we present a StarGraph construct which is designed to import web generated data streams and automatically generate the cube format necessary for OLAP queries. Our validation shows how the data streams can be captured as StarGraphs and using a traffic data case study, demonstrates an efficiency for populating and updating the data cube.

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“…For the Diamond model, we develop a design approach that produces a Diamond DocW schema from a collection of text-oriented XML documents conform to a logical structure 1 (i.e., DTD or XSchema). We have set in (Azabou, Khrouf, Feki, Soulé-Dupuy, & Vallès, 2015) a three-phase quasiautomatic approach: 10 Pretreatment, 2) Generation of a Diamond multidimensional model, and 3) Instantiation of the multidimensional model (cf. Figure 1).…”

mentioning

confidence: 99%

“…For each of these elements, its descendants constitute the parameters (organized into hierarchies) or the weak attributes (associated with parameters) (cf. (Azabou et al, 2015) for further details). In the standard layer, a central node associates Compatible Standard dimensions, that is, dimensions that can be used together in the same analytical query.…”

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confidence: 99%

Yet Another Multidimensional Model for XML Documents

Azabou

Khrouf

Feki

et al. 2017

International Journal of Strategic Information Technology and Applications

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The Diamond model is a multidimensional model dedicated to XML document warehouses. It considers structured and unstructured data simultaneously. Furthermore, it orders the semantics of documents via a specific semantic dimension linked to conventional dimensions, thus breaking the classical orthogonality rule of dimensions. After giving an overview of their three-phase quasi-automatic approach for the generation of the diamond model, the authors focus on the Diamond-Gen software tool that supports the proposed approach. The authors illustrate the Diamond-Gen functionalities and assess it through an experimental study using a set of 1500 XML documents issued from the PubMed collection.

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Diamond multidimensional model and aggregation operators for document OLAP

Cited by 6 publications

References 8 publications

Multidimensional Analysis of XML Documents: Modeling and Implementation

Multidimensional Analysis of XML Documents: Modeling and Implementation

Generating cubes from smart city web data

Yet Another Multidimensional Model for XML Documents

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