Student Work

Joins In Quality-Aware Database Systems

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The purpose of this project is to create a quality-aware database system that fundamentally extends standard database management systems to support imperfect database with evolving qualities. In the real world, the management and query processing of imperfect databases is a very challenging problem as it requires incorporating the data¡¯s qualities within the database engine. In this project, quality-aware database introduces a new quality model that captures the evolution of the data¡¯s qualities over time and a new query algebra focused on selection and join that enables seamless and transparent propagation and derivations of the data¡¯s qualities within a query pipeline. As a result, a query¡¯s answer will be automatically annotated with quality-related information at the tuple level.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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  • E-project-030316-121500
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  • 2016
Date created
  • 2016-03-03
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