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QDB 2008 : 6th International Workshop on Quality in DatabasesConference Series : Quality in Databases | |||||||||||||
Link: http://www.qdb08.org/ | |||||||||||||
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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 FOCUS 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 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. In addition, papers that contain completely original material may be recommended for fast-tracking to the ACM Journal of Data and Information Quality (JDIQ) (http://oldwww.acm.org/pubs/periodicals/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. ----- IMPORTANT DATES ----- - Deadline for submissions: May 26, 2008 - Notification of acceptance: July 21, 2008 - Camera-ready versions: August 4, 2008 - Workshop: August 25, 2008 WORKSHOP CHAIRS: 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) PROGRAM COMMITTEE: 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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