Enhancing Spatial Data warehouse Exploitation: A SOLAP Recommendation Approach

被引:0
|
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] Fac Sci Tunis, ESSPCR, Tunis, Tunisia
[3] Fac Sci Tunis, CONTOS, Tunis, Tunisia
关键词
Recommendation; Personalization; Spatial datawarehouse; Spatial OLAP system; Semantic similarity; Spatial similarity;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
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
收藏
页码:457 / 464
页数:8
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