posted by system || 2034 views || tracked by 3 users: [display]

QDB 2009 : 7th International Workshop on Quality in Databases


When Aug 24, 2009 - Aug 24, 2009
Where Lyon, France
Submission Deadline Jun 2, 2009
Notification Due Jul 21, 2009
Final Version Due Aug 4, 2009
Categories    data quality

Call For Papers

7th International Workshop on Quality in Databases (QDB'09)
In conjunction with VLDB 2009
August 24th, 2009, Lyon, France


The problem of poor data quality in databases, data warehousing and information
systems largely and indistinctly affects every application domain.
Many data processing tasks (such as information integration, data sharing,
information retrieval, and knowledge discovery from databases) require
various forms of data preparation and consolidation with complex data processing
techniques, because the data input to the algorithms is assumed to
conform to nice data distributions, containing no missing, inconsistent, duplicate
or incorrect values. This leaves a large gap between the available "dirty" data
and the available machinery to process the data for the application purposes.

Building on the established tradition of 6 previous international workshops
on the topic of Data and Information Quality, namely IQIS 2004-2006,
CleanDB 2006 and QDB 2007-2008, the Quality in Databases (QDB) workshop is a
qualified forum for presenting and discussing novel ideas and
solutions related to the problems of exploring, assessing, monitoring, improving,
and maintaining the quality of data.

Specific topics include, but are not limited to, the following:

- Data quality dimensions, models and algebra
- Duplicate detection and entity resolution
- Data quality in data integration and fusion
- Quality-aware query languages and query processing techniques
- Data scrubbing, data standardization, data cleaning techniques
- Data quality mining, data preparation and anomaly detection
- Data quality in multi-database or extra-large database settings
- Role of metadata and lineage in data quality evaluation
- Quality of information on the Web
- Quality of scientific, geographical, multimedia or stream data
- Privacy-preserving data quality management
- Data quality tools and benchmarks


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intent, in addition to previously unpublished material the program commitee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. For the seventh edition of the workshop,
we would like to promote the presentations of research-in-progress papers
and posters. We propose three categories for submission:
- research papers (should not exceed 10 pages)
- short papers (up to 6 pages)
- posters (up to 3 pages).

In addition, best papers 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. Detailed instructions on the web-based submission proceDss, along with
the workshop web site, will appear in a follow-up CFP.

- Deadline for submissions: June 2, 2009 (5:00 p.m. Pacific Standard Time)
- Notification of acceptance: July 21, 2009
- Camera-ready versions: August 4, 2009
- Workshop: August 24, 2009

Laure Berti-Equille, University of Rennes 1, France
Melanie Herschel, IBM Almaden Research Center, USA
Ahmed K. Elmagarmid, Purdue University, USA

Cinzia Cappiello, Politecnico di Milano, Italy
Tiziana Catarci, Universita di Roma, La Sapienza, Italy
Suzanne Embury, University of Manchester, UK
Alvaro Fernandes, University of Manchester, UK
Johann-Christoph Freytag, Humboldt-Universitat zu Berlin, Germany
Helena Galhardas, Technical University of Lisbon, Portugal
Michael Gertz, University of Heidelberg, Germany
Markus Helfert, Dublin City University, Ireland
Mauricio A. Hernandez, IBM Almaden Research Center, USA
Dmitri V. Kalashnikov, UC Irvine, USA
Raghav Kaushik, Microsoft Research, USA
Nick Koudas, University of Toronto, Canada
Chen Li, UC Irvine, USA
Paolo Missier, University of Manchester, UK
Felix Naumann, Hasso-Plattner-Institut, Potsdam, Germany
Paolo Papotti, Universita "Roma Tre", Italy
Mario Gerardo Piattini, University of Castilla-La Mancha, Spain
Kai-Uwe Sattler, Technical University of Illmenau, Germany
Monica Scannapieco, ISTAT, Italy
Divesh Srivastava, AT&T-Research, USA
Louia Raschid, University of Maryland, USA
Panos Vassiliadis, University of Ioannina, Greece
Vassilios Verykios, University of Thessaly, Volos, Greece
William Winkler, U.S. Bureau of the Census, USA

Related Resources

ECMLPKDD 2022   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ICDE 2023   International Conference on Data Engineering
ICQIS 2023   ICQIS 2023 - 4th International Conference on Quality Innovation and Sustainability
ER 2022   41st International Conference on Conceptual Modeling
iccq 2023   The Third International Conference on Code Quality
IJHAS 2022   International Journal of Humanities, Art and Social Studies
DSA 2022   3rd International Conference on Data Science and Applications
MDPI-Electronics-SI-QualRiskDistribSys 2022   MDPI Electronics Special Issue on Quality Assurance and Risk Mitigation in Large-Scale Distributed Systems
REFSQ 2023   Requirements Engineering: Foundation for Software Quality
QuASoQ 2022   10th International Workshop on Quantitative Approaches to Software Quality