A Presentation Model & Non-Traditional Visualization for OLAP

A Presentation Model & Non-Traditional Visualization for OLAP

Andreas Maniatis (National Technical University of Athens, Greece), Panos Vassiliadis (University of Ioannina, Greece), Spiros Skiadopoulos (National Technical University of Athens, Greece), Yannis Vassiliou (National Technical University of Athens, Greece), George Mavrogonatos (National Technical University of Athens, Greece) and Ilias Michalarias (National Technical University of Athens, Greece)
Copyright: © 2005 |Pages: 36
DOI: 10.4018/jdwm.2005010101
OnDemand PDF Download:
List Price: $37.50
10% Discount:-$3.75


Data visualization is one of the major issues of database research. OLAP a decision support technology, is clearly in the center of this effort. Thus far, visualization has not been incorporated in the abstraction levels of DBMS architecture (conceptual, logical, physical); neither has it been formally treated in this context. In this paper we start by reconsidering the separation of the aforementioned abstraction levels to take visualization into consideration. Then, we present the Cube Presentation Model (CPM), a novel presentational model for OLAP screens. The proposal lies on the fundamental idea of separating the logical part of a data cube computation from the presentational part of the client tool. Then, CPM can be naturally mapped on the Table Lens, which is an advanced visualization technique from the Human-Computer Interaction area, particularly tailored for cross-tab reports. Based on the particularities of Table Lens, we propose automated proactive support to the user for the interaction with an OLAP screen. Finally, we discuss implementation and usage issues in the context of an academic prototype system (CubeView) that we have implemented.

Complete Article List

Search this Journal:
Volume 19: 1 Issue (2023): Forthcoming, Available for Pre-Order
Volume 18: 4 Issues (2022): 2 Released, 2 Forthcoming
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing