A Probabilistic Database Extension

Ander de Keijzer, Maurice van Keulen

Research output: Book/ReportReportProfessional

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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

Cite this

de Keijzer, A., & van Keulen, M. (2004). A Probabilistic Database Extension. (CTIT Technical Report Series; No. 04-21). Enschede: Centre for Telematics and Information Technology (CTIT).
de Keijzer, Ander ; van Keulen, Maurice. / A Probabilistic Database Extension. Enschede : Centre for Telematics and Information Technology (CTIT), 2004. 15 p. (CTIT Technical Report Series; 04-21).
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de Keijzer, A & van Keulen, M 2004, A Probabilistic Database Extension. CTIT Technical Report Series, no. 04-21, Centre for Telematics and Information Technology (CTIT), Enschede.

A Probabilistic Database Extension. / de Keijzer, Ander; van Keulen, Maurice.

Enschede : Centre for Telematics and Information Technology (CTIT), 2004. 15 p. (CTIT Technical Report Series; No. 04-21).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - A Probabilistic Database Extension

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AU - van Keulen, Maurice

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PY - 2004/11

Y1 - 2004/11

N2 - 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.

AB - 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.

KW - EWI-7665

KW - METIS-221265

KW - IR-49171

KW - DB-SDI: SCHEMA AND DATA INTEGRATION

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de Keijzer A, van Keulen M. A Probabilistic Database Extension. Enschede: Centre for Telematics and Information Technology (CTIT), 2004. 15 p. (CTIT Technical Report Series; 04-21).