CobWeb Multidimensional Model: From OLAP To Tag Cloud

被引：0

作者：

Khrouf, Omar ^{[1
]}

Khrouf, Kais ^{[1
]}

Lefi, Tarek ^{[2
]}

Alshomrani, Saleh ^{[3
]}

Feki, Jamel ^{[3
]}

机构：

[1] Univ Sfax, MIR CL Lab, Sfax, Tunisia

[2] Higher Sch Elect & Telecommun Sfax, Sfax, Tunisia

[3] Univ Jeddah, FCIT, IS Dept, Jeddah, Saudi Arabia

来源：

2016 IEEE/ACS 13TH INTERNATIONAL CONFERENCE OF COMPUTER SYSTEMS AND APPLICATIONS (AICCSA) | 2016年

关键词：

OLAP; XML documents; Cobweb multidimensional model; Tag cloud;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The development of Internet is permanently increasing the number of documents and the volumes of data available and exchanged through the Web. This documentary information constitutes an interesting source for the decision-making analysis. Therefore, it is essential to provide decision-makers with efficient tools to analyze the textual data enclosed in documents. In this paper, first we present a generic multidimensional model called "CobWeb", which extends the multidimensional galaxy. CobWeb is dedicated to the OLAP (On-Line Analytical Processing) of XML documents, and based on the concept of facet. It aims to provide decision-makers with facilities in expressing their analytical queries along with an appropriate vision of the data. Secondly, we introduce our software prototype called MQF (Multidimensional Query based on Facets) for querying the CobWeb multidimensional document warehouse. Query results are displayed as multidimensional tables, and as a cloud of tags.

引用

页数：8

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