Semantic Cubing Platform enabling Interoperability Analysis among Cloud-based Linked Data Cubes

被引：0
|
作者：
Thanh Binh Nguyen [1 ]
Sy Ngoc Ngo [2 ]
机构：
[1] IIASA, Schlosspl 1, A-2361 Laxenburg, Austria
[2] Hue Univ, Infomrat Technol Ctr, Hue, Vietnam
来源：
16TH INTERNATIONAL CONFERENCE ON INFORMATION INTEGRATION AND WEB-BASED APPLICATIONS & SERVICES (IIWAS 2014) | 2014年
关键词：
linked data cubes; federated data warehousing systems; semantics; onotology;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In current data marketplace, multidimensional data cubes become isolated bits of information in lack of a comprehensive semantic relationship among their datasets. To facilitate the exploration and discovery possible semantic heterogeneity among linked data cubes, Semantic Cubing Platform has been studied. First, linked data marts and their data cubes have been specified by using the Federated Data warehousing Application (FDWA) framework and the Collective Cubing platform, which have been introduced in our previous literatures. Hereafter, Metacube Services have been proposed as a middle-layer to enable interoperability analysis among linked data cubes.
引用
收藏
页码：547 / 553
页数：7
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