Abstract
In this paper we informally and formally defined what we mean by uncertain- ignorant information in relational databases and data warehouses. We classify proposed extensions to the relational data model that can represent and retrieve incomplete information. There are many different kinds of temporal ignorant information including information that is fuzzy, imprecise, indeterminate, indefinite, missing, partial, possible, probabilistic, unknown, uncertain, or vague. We will explore each variety of temporal ignorant information in detail with reference to database and data-warehouse design.
This is a preview of subscription content, log in via an institution to check access.
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
Anahory, S., Murray, D.: Data warehousing in the real world: A Practical Approach for Building Decision Support Systems. Addison-Wesley, Reading (1997)
Böhlen, M., et al.: Point-versus Interval-Based Temporal Data Models. In: Proceedings of 14th ICDE, pp. 192–201. IEEE Computer Society Press, Los Alamitos (1998)
Chountas, P., Petrounias, I., Atanassov, K., Kodogiannis, V., El-Darzi, E.: In: Andreasen, T., Motro, A., Christiansen, H., Larsen, H.L. (eds.) FQAS 2002. LNCS (LNAI), vol. 2522, pp. 112–123. Springer, Heidelberg (2002)
Etzion, O., Jajodia, S., Sripada, S.: In: Etzion, O., Jajodia, S., Sripada, S. (eds.) Dagstuhl Seminar 1997. LNCS, vol. 1399, Springer, Heidelberg (1998)
Inmon, W.: Building the Data Warehouse, 2nd edn. John Wiley & Sons, New York (1996)
Jensen, C., Snodgrass, R.: Temporal Data Management. IEEE Transactions on Knowledge and Data Engineering 11(1), 36–44 (1999)
Kimball, R.: The Data Warehouse Toolkit. John Wiley & Sons, New York (1996)
Pedersen, T., Jensen, C.: Multidimensional Data Modeling for Complex Data. In: Proceedings of 15th ICDE, pp. 336–345. IEEE Computer Society, Los Alamitos (1999)
Snodgrass, R.: Monitoring Distributed Systems: A Relational Approach, Ph.D. Dissertation. Carnegie Mellon University (1982)
Brusoni, V., Console, L., Terenziani, P., Pernici, B.: Extending Temporal Relational Databases to deal with Imprecise and Qualitative Temporal Information. In: Proceedings of the International Workshop on Recent Advances in Temporal Databases, pp. 3–22. Springer, Heidelberg (1995)
Dyreson, C., Snodgrass, R.: Supporting Valid-time Indeterminacy. ACM Trans. Database Systems 23(1), 1–57 (1998)
Dekhtyar, R., Ross, V.S.: Probabilistic Temporal Databases, I: Algebra. ACM Trans. on Database Systems 26(1), 41–95 (2001)
Koubarakis, M.: Database Models for Infinite and Indefinite Temporal Information. Inf. Systems 19(2), 141–173 (1994)
Koubarakis, M.: Representation and Querying in Temporal databases: The power of temporal constraints. In: Proceedings of the International Conference on Data Engineering, pp. 327–334 (1993)
Dubois, D., Prade, H.: Processing Fuzzy Temporal Knowledge. IEEE Trans. Systems Man Cybernetics 19(4), 729–744 (1989)
Dutta, S.: Generalized Events in Temporal Databases. In: Proceedings of the 5th International Conference on Data Engineering, pp. 118–126. IEEE Computer Society, Los Alamitos (1989)
Trevsky, I.G.: Studies of Similarity, Cognition and Categorization, Hillsdale, NJ, Erlbaum (1978)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chountas, P. et al. (2004). On Uncertainty and Data-Warehouse Design. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2004. Lecture Notes in Computer Science, vol 3261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30198-1_2
Download citation
DOI: https://doi.org/10.1007/978-3-540-30198-1_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23478-4
Online ISBN: 978-3-540-30198-1
eBook Packages: Computer ScienceComputer Science (R0)