Abstract
The words On-Line Analytical Processing bring together a set of tools, that use multidimensional modeling in the management of information to improve the decision making process. Lately, a lot of work has been devoted to modeling the multidimensional space. The aim of this paper is twofold. On one hand, it compiles and classifies some of that work, with regard to the design phase they are used in. On the other hand, it allows to compare the different terminology used by each author, by placing all the terms in a common framework.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
R. Agrawal, A. Gupta, and S. Sarawagi. Modeling multidimensional databases. In Int. Conf. on Data Engineering (ICDE). IEEE Press, 1997.
C. Batini, S. Ceri, and S. Navathe. Conceptual Database Design-an Entity-Relationship Approach. Benjamin/Cummings, 1992.
J.W. Buzydlowski, I. Song, and L. Hassell. A Framework for Object-Oriented On-line Analytical Processing. In Int. Workshop on Data Warehousing and OLAP (DOLAP). ACM, 1998.
M. Blaschka, C. Sapia, G. Höfling, and B. Dinter. Finding your way through multidimensional data models. In Int. Conf. on Database and Expert Systems Applications (DEXA), number 1460 in LNCS. Springer, 1998.
S. Chaudhuri and U. Dayal. An overview of data warehousing and OLAP technology. SIGMOD Record, 26(1), 1997.
E.F. Codd. Extending the relational model to capture more meaning. ACM Transactions on Database Systems, 4(4), 1979.
L. Cabibbo and R. Torlone. A logical approach to multidimensional databases. In Advances in Database Technology-EDBT’98, number 1377 in LNCS. Springer, 1998.
C. Dyreson. Information retrieval from an incomplete data cube. In Int. Conf. on Very Large Data Bases (VLDB). Morgan Kaufmann, 1996.
R. Elmasri and S.B. Navathe. Fundamentals of Database Systems, 2nd Ed. Benjamin Cummings, 1994.
M. Gyssens and L.V.S. Lakshmanan. A foundation for multi-dimensional databases. In Int. Conf. on Very Large Data Bases (VLDB). Morgan Kaufmann, 1997.
V. Gopalkrishnan, Q. Li, and K. Karlapalem. Star/snow-flake schema driven object-relational data warehouse design and query processing strategies. In Int. Workshop on Data Warehousing and Knowledge Discovery (DaWaK), number 1676 in LNCS. Springer, 1999.
M. Golfarelli, D. Maio, and S Rizzi. The Dimensional Fact Model: a Conceptual Model for Data Warehouses. Int. Journal of Cooperative Information Systems, 7(2&3), 1998.
M.-S. Hacid and U. Sattler. An object-centered multi-dimensional data model with hierarchically structured dimensions. In IEEE Knowledge and Data Exchange Workshop (KDEX). IEEE Computer Society, 1997.
R. Kimball. The Data Warehouse toolkit. John Wiley & Sons, 1996.
W. Lehner. Modeling large scale OLAP scenarios. In Advances in Database Technology-EDBT’98, volume 1377 of LNCS. Springer, 1998.
O. Mangisengi, AM. Tjoa, and R.R. Wagner. Multidimensional Modeling Approaches for OLAP Based on Extended Relational Concepts. In Int. Database Conf. on Heterogeneous and Internet Databases (IDC), 1999.
T.B. Pedersen. Aspects of Data Modeling and Query Processing for Complex Multidimensional Data. PhD thesis, Faculty of Engineering and Science, 2000.
C. Sapia, M. Blaschka, G. Höfling, and B. Dinter. Extending the E/R model for the multidimensional paradigm. In Int. Workshop on Data Warehouse and Data Mining (DWDM), number 1552 in LNCS. Springer, 1999.
N. Tryfona, F. Busborg, and J.G.B. Christiansen. starER: A conceptual model for data warehouse design. In Int. Workshop on Data Warehousing and OLAP (DOLAP). ACM, 1999.
J. Ullman and J. Widom. A First Course in Database Systems. Prentice-Hall, 1997.
P. Vassiliadis. Data Warehouse Modeling and Quality Issues. PhD thesis,Department of Electrical and Computer Engineering, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Abelló, A., Samos, J., Saltor, F. (2001). A Framework for the Classification and Description of Multidimensional Data Models. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_65
Download citation
DOI: https://doi.org/10.1007/3-540-44759-8_65
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42527-4
Online ISBN: 978-3-540-44759-7
eBook Packages: Springer Book Archive