The adoption of the Linked Data principles and technologies has promised to enhance the
analysis of statistics at a Web scale. Statistical data, however, is typically organized in data …

A major part of Open Data concerns statistics such as population figures, economic and
social indicators. The adoption of the Linked Data principles and technologies has promised …

A major part of open data provided by international and governmental organizations include
facts and figures that are described in a multi-dimensional manner (aka data cubes). The …

A significant part of open data provided by governments and international organizations
concerns statistics such as demographics and economic indicators. The real value …

The data cube operator encapsulates all possible groupings of a data set and has proved to
be an invaluable tool in analyzing vast amounts of data. However its apparent exponential …

We present a novel framework for comprehensive exploration of OLAP data by means of
user-defined dynamic hierarchical visualizations. The multidimensional data model behind …

On Line Analytical Processing (OLAP) is a technology basically created to provide users
with tools in order to explore and navigate into data cubes. Unfortunately, in huge and …

This paper introduces an approach to supporting high-dimensional data cubes at interactive
query speeds and moderate storage cost. The approach is based on binary (-domain) data …

Linked Open Cube Analytics Systems: Potential and Challenges Page 1 Linked Open Cube
Analytics Systems: Potential and Challenges Evangelos Kalampokis, Efthimios Tambouris …

A Data Warehouse (DW) is widely used as a consistent and integrated data repository in
Business Intelligence systems. Under today's dynamic and competitive business context …