Fourth International Workshop on Data Quality in Integration Systems (DQIS2011)
In conjunction with the 16th International Conference on Database Systems for Advanced Applications
(All published papers are expected to be indexed by SCI, EI, and ISTP)

April 22, 2011 Hong Kong, China
http://faculty.neu.edu.cn/yangxc/DQIS2011

The integration systems have been a subject of intense research and development for over three decades. Basically the goal of integration systems is to provide a uniform interface to a multitude of data sources. Difficulties in overcoming the schematic, syntactic and semantic differences of data from multiple autonomous and heterogeneous sources are well recognized, and have resulted in a data integration market valued at US$1.34 billion and growing. With the phenomenal increase in the scale and disparity of data, the problems associated with data integration have increased dramatically.

A fundamental aspect of user satisfaction from integration systems is the data quality. Industry reports indicate that expensive data integration initiatives stemming from migrations, mergers, legacy upgrades etc, succeed in achieving a common technology platform, but are rejected by the user communities due to the presence (or exposure) of poor data quality. Poor data quality is known to compromise the credibility and efficiency of commercial as well as public endeavours. Several developments from industry as well as academia have contributed significantly towards addressing the problem.

These typically include analysts and practitioners who have contributed to the design of strategies and methodologies for data governance; solution architects including software vendors who have contributed towards appropriate system architectures that promote data integration and; and data experts who have contributed to data quality problems such as duplicate detection, identification of outliers, consistency checking and many more through the use of computational techniques. The attainment of true data quality lies at the convergence of the three aspects, namely organizational, architectural and computational.

The workshop will provide a forum to bring together diverse researchers and make a consolidated contribution to new and extended methods to address the challenges of data quality in data integration systems. Topics covered by the workshop include at least the following:

Data integration, linkage and fusion
Entity resolution, duplicate detection, and consistency checking
Data profiling and measurement
Use of data mining for data quality assessment
Methods for data transformation, reconciliation, consolidation
Algorithms for data cleansing, fuzzy search
Data quality and cleansing in information extraction
Dealing with uncertain or noisy data (e.g., sensor data)
Data lineage and provenance
Models, frameworks, methodologies and metrics for data quality
Application specific data quality, case studies, experience reports
User/social perceptive on data quality and cleansing
Data quality and cleansing for complex data (e.g. documents, semi-structured data, XMLs, multimedia data, graphs, biosequences, etc.)

Authors should submit papers reporting original works that are currently not under review or published elsewhere. The paper should be submitted in PDF format, with maximum length twelve (12) pages, following Springer-Verlag's LNCS manuscript submission guidelines, available at http://www.springer.de/comp/lncs/authors.html

The submission site of DQIS 2011 is https://cmt.research.microsoft.com/DQIS2011.

Organizers
Shazia Sadiq, Xiaofang Zhou, Ke Deng
University of Queensland, Australia
Xiaochun Yang
Northeastern University, China

Program Committee
Lei Chen (Hong Kong University of Science and Technology, China)
Jun Gao (Peking University, China)
Adam Jatowt (Kyoto University, Japan)
Marek Kowalkiewicz (SAP-Research, Australia)
Qing Liu (CSIRO, Australia)
Cheqing Jin (East China Normal University, China)
Chaoyi Pang (CSIRO, Australia)
Wanita Sherchan (CSIRO, Australia)
Laurianne Sitbon (Queensland University of Technology, Australia)
Yanfeng Shu (CSIRO, Australia)
Bin Wang (Northeastern University, China)
John (Junhu) Wang (Griffith University, Australia)
Kai Xu (Middlesex University, UK)
Ji Zhang (The University of Southern Queensland, Australia)
Ying Zhang (The University of New South Wales, Australia)

Important Dates
Dec. 10, 2010 Paper submission deadline
Jan. 15, 2011 Acceptance notification to authors
Jan. 22, 2011 On-site paper deadline
May 01, 2011 Final camera-ready copy
Apr. 22, 2011 Workshop