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QDB 2008 : 6th International Workshop on Quality in Databases


Conference Series : Quality in Databases
When Aug 25, 2008 - Aug 25, 2008
Where Auckland, New Zealand
Submission Deadline May 26, 2008
Notification Due Jul 21, 2008
Categories    databases   quality   information

Call For Papers

Call for papers

Workshop on Quality in Databases (QDB'08)
August 25th, 2008, Auckland, New Zealand
In conjunction with VLDB 2008
24th-30th August 2008


The term "data and information quality" denotes, in a broad sense, a set
of properties of the data that indicate various types of error conditions.
The ability to detect and correct these errors is critical to the functionality
of a large number of applications, in areas ranging from business management to
data-intensive science. In addition to the technical issues associated with
error management, data consumers are also faced with decisions regarding the
quality levels appropriate for their application, and therefore with a
trade-off between accepting the presence of errors, and the cost of detecting
and correcting them. While these issues have been known for quite some time,
novel applications still pose original challenges, while advances in data
management technology offer ideas for novel approaches.

Building on the established tradition of 5 previous international workshops
on the topic of Data and Information Quality, namely IQIS 2004-2006,
CleanDB 2006 and QDBā??07, the Quality in Databases (QDB) workshop is a
qualified forum for presenting and discussing novel ideas and
solutions related to the problems of assessing, monitoring, improving, and
maintaining the quality of data. Specific topics include, but are not
limited to, the following:
- Duplicate detection / entity resolution
- Quality-aware query languages
- Quality-aware query processing techniques
- Quality of information on the Web
- User-centric and user-defined quality models
- Information Quality management in scientiļ¬?c, geographical, and mul-
timedia databases
- Role of metadata in quality measurement
- Privacy-preserving data quality management
- Data quality in multi-database settings
- Data scrubbing / data standardization
- Data quality benchmarks
- Data quality assessment / measures
- Data quality models and algebra


The main aim of the workshop is to offer participants a venue for stimulating
discussions and comparison of methods and approaches. In line with this open
intent, in addition to previously unpublished material the program commitee
welcomes paper submissions that include ideas and material that may have
appeared elsewhere, insofar as they are judged to be a sound and valuable
contribution to the discussion.
In addition, papers that contain completely original material may be
recommended for fast-tracking to the ACM Journal of Data and Information Quality
(JDIQ) (
In case of paper acceptance, the authors agree that at least one of them
will register for the workshop and present the paper.
Submissions must be in the standard VLDB format and should not exceed 10 pages.

Detailed instructions on the web-based submission process, along with
the workshop web site, will appear in a follow-up CFP.

- Deadline for submissions: May 26, 2008
- Notification of acceptance: July 21, 2008
- Camera-ready versions: August 4, 2008
- Workshop: August 25, 2008

Paolo Missier (School of Computer Science, The University of Manchester, UK)
Xuemin Lin (School of Computer Science, The University of New South Wales, Sydney, AUS)


Arvind Arasu, Microsoft, USA
Carlo Batini, University of Milano Bicocca, Italy
Laure Berti, IRISA, France
Tiziana Catarci, Universita' di Roma La Sapienza, Italy
Ahmed K. Elmagarmid, Purdue University, USA
Suzanne Embury, University of Manchester, UK
Alvaro Fernandes, University of Manchester, UK
Helena Galhardas, Technical University of Lisbon, Portugal
Michael Gertz, UC Davis, USA
Mauricio Hernandez, IBM Almaden, USA
Vipul Kashyap, Partners HealthCare System, USA
Raghav Kaushik, Microsoft Research, USA
Chen Li, UC Irvine, USA
Andrea Maurino, Milano Bicocca, Italy
Felix Naumann, Hasso-Plattner-Institute, Germany
Monica Scannapieco, ISTAT, Italy
Divesh Srivastava, AT&T-Research, USA
Vassilios Verykios, Univ. of Thessaly, Volos, Greece
Wei Wang, UNSW, Australia
VLDB 2008 Home Page

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