Delivering Semantics-aware Compressed OLAP Views in Mobile Environments with Hand-OLAP

In this paper, we present further research achievements due to hand-OLAP, a Java-based distributed system that relies on semantics-based intelligent data cube compression techniques, and effectively and efficiently supports OLAP in mobile environments. Hand-OLAP is based on a systematic approach according to which first a two-dimensional OLAP view of interest is extracted from the target multidimensional data cube via the so-called OLAP dimension flattening process, and then this view is compressed by means of a meaningful semantics-based data cube compression approach. The compressed two-dimensional view is finally delivered to mobile devices, and used to interactive OLAP exploration and querying tasks in an off-line manner.