posted by system || 1562 views || tracked by 3 users: [display]

QDB 2009 : 7th International Workshop on Quality in Databases

FacebookTwitterLinkedInGoogle

 
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
-----------------------------------------------------------


-----
FOCUS
-----

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


---------------------------
FORMAT AND PAPER SUBMISSION
---------------------------

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.

----------------
IMPORTANT DATES
----------------
- 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

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

-----------------
PROGRAM COMMITTEE
-----------------
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

QRS 2019   The 19th IEEE International Conference on Software Quality, Reliability, and Security
Data SI Overcoming Data Scarcity in ES 2019   Data Journal Special Issue on Overcoming Data Scarcity in Earth Science
IEEE AIKE 2019   IEEE International Conference on Artificial Intelligence and Knowledge Engineering
DMDB 2019   6th International Conference on Data Mining and Database
QUATIC 2019   12th International Conference on the Quality of Information and Communications Technology
ADBIS 2019   23rd European Conference on Advances in Databases and Information Systems
RQD 2019   25th ISSAT International Conference on Reliability and Quality in Design
ER 2019   38th International Conference on Conceptual Modeling
EDML 2019   1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning @ SDM 2019
DATA 2019   8th International Conference on Data Science, Technology and Applications