A possible world approach to uncertain relational data

Ander de Keijzer, Maurice van Keulen

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
177 Downloads (Pure)

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 paper, 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 languageEnglish
Title of host publicationInternational Workshop on Supporting Imprecision and Uncertainty in Flexible Databases (SIUFDB 2004)
Place of PublicationLos Alamitos
PublisherIEEE
Pages922-926
Number of pages5
ISBN (Print)0-7695-2195-9
DOIs
Publication statusPublished - Sept 2004
EventInternational Workshop on Supporting Imprecision and Uncertainty in Flexible Databases (SIUFDB 2004) - Zaragoza, Spain
Duration: 3 Sept 20043 Sept 2004

Publication series

NameDEXA Workshops
PublisherIEEE Computer Society
ISSN (Print)1529-4188

Workshop

WorkshopInternational Workshop on Supporting Imprecision and Uncertainty in Flexible Databases (SIUFDB 2004)
Period3/09/043/09/04
Other3 Sep 2004

Keywords

  • EWI-7268
  • IR-49173
  • METIS-221269
  • DB-SDI: SCHEMA AND DATA INTEGRATION

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