A formal framework for defining entity-based, data source integration

John R. Talburt, Ray R. Hashemi

Research output: Contribution to book or proceedingConference articlepeer-review

3 Scopus citations

Abstract

This paper describes a formal, set-theoretic framework for multi-source, entity-based data integration. The framework provides a structure and notation for defining and expressing solutions to problems related to entity-based integration. The expressiveness of the framework is illustrated by using it to define a commonly used integration operator (Native Accuracy Optimization).

Original languageEnglish
Title of host publicationProceedings of the 2008 International Conference on Information and Knowledge Engineering, IKE 2008
Pages394-398
Number of pages5
StatePublished - 2008
Event2008 International Conference on Information and Knowledge Engineering, IKE 2008 - Las Vegas, NV, United States
Duration: Jul 14 2008Jul 17 2008

Publication series

NameProceedings of the 2008 International Conference on Information and Knowledge Engineering, IKE 2008

Conference

Conference2008 International Conference on Information and Knowledge Engineering, IKE 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period07/14/0807/17/08

Scopus Subject Areas

  • Software
  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems

Keywords

  • Information source
  • Integration attribute
  • Integration context
  • Integration entity
  • Integration selection operator
  • Merge attribute
  • Merge object
  • Naïve accuracy optimization

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