Data is the lifeblood of any organization. In today's world, organizations recognize the vital
role of data in modern business intelligence systems for making meaningful decisions and …

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

Data warehouses are databases of a specific kind that periodically collect information about
the activities being performed by an organization. This information is then accumulated over …

Data, information and knowledge have important role in various human activities because
by processing data, information is extracted and by analyzing data and information the …

Materialized views are queries whose results are stored and maintained in order to facilitate
access to data in their underlying base tables. In the SQL setting, they are now considered a …

The present book's subject is multidimensional data models and data modeling concepts as
they are applied in real data warehouses. The book aims to present the most important …

The Semantic Web (SW) deployment is now a realization and the amount of semantic
annotations is ever increasing thanks to several initiatives that promote a change in the …

The development of a data warehouse (DW) system is based on a conceptual
multidimensional model, which provides a high level of abstraction in accurately and …

Data about the Earth, like in many other domains, are too difficult to access. In order to
perform some insight-gaining task a series of steps has to be performed which often require …

We extend the OLAP data model to represent data ambiguity, specifically imprecision and
uncertainty, and introduce an allocation-based approach to the semantics of aggregation …