A Probabilistic Database Extension

Ander de Keijzer, Maurice van Keulen

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Abstract

Data exchange between embedded systems and other small or large computing devices increases. Since data in different data sources may refer to the same real world objects, data cannot simply be merged. Furthermore, in many situations, conflicts in data about the same real world objects need to be resolved without interference from a user. In this report, we report on an attempt to make a RDBMS probabilistic, i.e., data in a relation represents all possible views on the real world, in order to achieve unattended data integration. We define a probabilistic relational data model and review standard SQL query primitives in the light of probabilistic data. It appears that thinking in terms of ‘possible worlds’ is powerful in determining the proper semantics of these query primitives.
Original languageUndefined
Place of PublicationEnschede
PublisherCentre for Telematics and Information Technology (CTIT)
Number of pages15
Publication statusPublished - Nov 2004

Publication series

NameCTIT Technical Report Series
No.04-21
ISSN (Print)1381-3625

Keywords

  • EWI-7665
  • METIS-221265
  • IR-49171
  • DB-SDI: SCHEMA AND DATA INTEGRATION

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