A framework for data quality aware query systems

Naiem K. Yeganeh, Mohamed A. Sharaf

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Data Quality (DQ) is increasingly gaining more importance as organizations as well as individuals are relying on data available from various data sources. User satisfaction from query result is directly related to the quality of data returned to user. In this paper we present a framework for DQ aware query systems focused on three key requirements of profiling DQ, capturing user preferences on DQ and processing data quality aware queries.

Original languageEnglish
Title of host publicationDatabase Systems for Adanced Applications - 16th International Conference, DASFAA 2011, International Workshops
Subtitle of host publicationGDB, SIM3, FlashDB, SNSMW, DaMEN, DQIS, Proceedings
EditorsJianliang Xu, Ge Yu, Shuigeng Zhou, Rainer Unland
PublisherSpringer Verlag
Pages478-489
Number of pages12
ISBN (Print)9783642202438
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event16th International Conference on Database Systems for Advanced Applications, DASFAA 2011 - Hong Kong, China
Duration: Apr 22 2011Apr 25 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6637 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
Country/TerritoryChina
CityHong Kong
Period4/22/114/25/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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