A possible world approach to uncertain relational data

Ander de Keijzer, Maurice van Keulen

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

5 Citations (Scopus)
59 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 languageUndefined
Title of host publicationInternational Workshop on Supporting Imprecision and Uncertainty in Flexible Databases (SIUFDB 2004)
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
Pages922-926
Number of pages5
ISBN (Print)0-7695-2195-9
DOIs
Publication statusPublished - Sep 2004

Publication series

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

Keywords

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

Cite this

de Keijzer, A., & van Keulen, M. (2004). A possible world approach to uncertain relational data. In International Workshop on Supporting Imprecision and Uncertainty in Flexible Databases (SIUFDB 2004) (pp. 922-926). (DEXA Workshops). Los Alamitos: IEEE Computer Society. https://doi.org/10.1109/DEXA.2004.1333596, https://doi.org/10.1109/DEXA.2004.19