Extension of the Relational Algebra to Probabilistic Complex Values (2000)
| Venue: | In Proceedings of the International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2000), volume 1762 of LNCS |
| Citations: | 7 - 4 self |
BibTeX
@INPROCEEDINGS{Eiter00extensionof,
author = {Thomas Eiter and Thomas Lukasiewicz and Michael Walter},
title = {Extension of the Relational Algebra to Probabilistic Complex Values},
booktitle = {In Proceedings of the International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2000), volume 1762 of LNCS},
year = {2000},
pages = {94--115},
publisher = {Springer}
}
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Abstract
We present a probabilistic data model for complex values. More precisely, we introduce probabilistic complex value relations, which combine the concept of probabilistic relations with the idea of complex values in a uniform framework. We then de ne an algebra for querying database instances, which comprises the operations of selection, projection, renaming, join, Cartesian product, union, intersection, and difference. We finally show that most of the query equivalences of classical relational algebra carry over to our algebra on probabilistic complex value relations. Hence, query optimization techniques for classical relational algebra can easily be applied to optimize queries on probabilistic complex value relations.
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