Enhancing Spatial Data Warehouse Exploitation: A SOLAP Recommendation Approach

被引：3

作者：

Aissi, Saida ^{[1
]}

Gouider, Mohamed Salah ^{[1
]}

Sboui, Tarek ^{[2
,3
]}

Ben Said, Lamjed ^{[1
]}

机构：

[1] High Inst Management, SOIE Lab, Tunis, Tunisia

[2] ESSPCR, UR 11ES15, Tunis, Tunisia

[3] CONTOS2, Fac Sci, Dept Geol, Tunis, Tunisia

来源：

COMPUTER AND INFORMATION SCIENCE | 2016年 / 656卷

关键词：

Spatial datacube; Semantic similarity; Spatial similarity; Recommendtion; Personalization;

D O I：

10.1007/978-3-319-40171-3_10

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a recommendation approach that proposes personalized queries to SOLAP users in order to enhance the exploitation of spatial data warehouses. The approach allows implicit extraction of the preferences and needs of SOLAP users using a spatial-semantic similarity measure between queries of different users. The proposal is defined theoretically and validated by experiments.

引用

页码：131 / 147

页数：17

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