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Abstract: . In OLAP applications, data are modeled as points in a multidimensional space. Dimensions themselves have structure, described by a schema and an instance; the schema is basically a directed acyclic graph of granularity levels, and the instance consists of a set of elements for each level and mappings between these elements, usually called rollup functions. Current dimension models restrict dimensions in various ways; for example, rollup functions are restricted to be total. We relax... (Update)
Context of citations to this paper: More
...dimension we cannot have some cities that rollup to provinces and some to states. A number of researchers and practitioners [11, 8, 13, 6] have dropped this restriction over the past few years, yielding heterogeneous dimensions, which are needed to represent more...
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BibTeX entry: (Update)
C. Hurtado and A. Mendelzon. Reasoning about summarizability in heterogeneous multidimensional schemas. In Proceedings of the 8th International Conference on Database Theory, London, UK, 2001. http://citeseer.ist.psu.edu/hurtado01reasoning.html More
@article{ hurtado01reasoning,
author = "Carlos A. Hurtado and Alberto O. Mendelzon",
title = "Reasoning about Summarizability in Heterogeneous Multidimensional Schemas",
journal = "Lecture Notes in Computer Science",
volume = "1973",
pages = "375--??",
year = "2001",
url = "citeseer.ist.psu.edu/hurtado01reasoning.html" }
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5 Updating OLAP dimensions - Hurtado, Mendelzon et al. - 1999
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Updating OLAP Dimensions - Hurtado, Mendelzon, Vaisman (Correct)
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