Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Self-service business intelligence is about enabling non-expert users to make well-informed
decisions by enriching the decision process with situational data, ie, data that have a narrow …

In today's knowledge-, service-, and cloud-based economy, businesses accumulate massive
amounts of data from a variety of sources. In order to understand businesses one may need …

On-Line Analytical Processing (OLAP) tools allow querying large multidimensional
databases called data warehouses (DW). OLAP-style data analysis over the semantic web …

The development of Semantic Web (RDF) brings new requirements for data analytics tools
and methods, going beyond querying to semantics-rich analytics through warehouse-style …

Abstract Online Analytical Processing (OLAP) promises an interface to analyse Linked Data
containing statistics going beyond other interaction paradigms such as follow-your-nose …

The web is changing the way in which data warehouses are designed and exploited.
Nowadays, for many data analysis tasks, data contained in a conventional data warehouse …

Although the recently launched Open Government Data (OGD) movement promised to
provide a number of benefits, recent studies have shown that its full potential has not yet …

Graphs are essential modeling and analytical objects for representing information networks.
Existing approaches, in on-line analytical processing on graphs, took the first step by …

The continuous accumulation of multi-dimensional data and the development of Semantic
Web and Linked Data published in the Resource Description Framework (RDF) bring new …