On uncertainty and data-warehouse design

P. Chountas, I. Petrounias, C. Vasilakis, A. Tseng, E. El-Darzi, K. Atanassov, V. Kodogiannis

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)


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.
Original languageEnglish
Pages (from-to)4-13
Number of pages10
JournalLecture Notes in Computer Science
Publication statusPublished - 2004


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