各位 DASFAAインド併設workshop情報周知の依頼が ありましたのでお送り致します。 喜連川＠東大情報融合センタ --------------------------------- Call for Papers Managing Data Quality in Collaborative Information Systems Workshop in Conjunction with DASFAA 2008 13th International Conference on Database Systems for Advanced Applications 19-22nd March, 2008, New Delhi, India 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. At the same time, importance of managing data quality has increased manifold in today's global information sharing environments, as the diversity of sources, formats and volume of data grows. In this workshop we target data quality in the light of collaborative information systems where data creation and ownership is increasingly difficult to establish. Collaborative settings are evident in enterprise systems, where partner/customer data may pollute enterprise data bases raising the need for data source attribution, as well as in scientific applications, where data lineage across long running collaborative scientific processes needs to be established. Collaborative settings thus warrant a pipeline of data quality methods and techniques that commence with (source) data assessment, data cleansing, methods for sustained quality, integration and linkage, and eventually ability for audit and attribution. 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 collaborative settings. Topics covered by the workshop include at least the following: - Data linkage and fusion - Entity resolution, duplicate detection, and consistency checking - Data profiling and preparation - Use of data mining for data quality assessment - Methods for data transformation, reconciliation, consolidation - Data lineage and provenance - Models, frameworks, methodologies and metrics for data quality - Application specific data quality, case studies, experience reports Submitted papers will be evaluated on the basis of significance, originality, technical quality, and exposition. Papers should clearly establish the research contribution, and relation to previous research. Position and survey papers are also welcome. Workshop Format The full day workshop will consist of oral presentations, discussions, and invited talks. The workshop will also provide opportunity for demo sessions, where presenters can showcase advanced prototypes based on their research where applicable. Submission of Papers Authors should submit papers reporting original works that are currently not under review or published elsewhere. The paper should be submitted as email attachment to shazia@itee.uq.edu.au in PDF format, with maximum length fifteen (15) pages, following Springer-Verlag's LNCS manuscript submission guidelines, available at http://www.springer.de/comp/lncs/authors.html. Workshop Proceedings The workshop proceedings are to be published as part of Springer Verlag's Lecture Notes in Computer Science series. After the workshop, selected papers may have an opportunity to be invited to submit an extended version of the paper to an International Journal. Important Dates October 15, 2007 Submission of Papers November 12, 2007 Notification to Authors December 10, 2007 All Camera-Ready Copies Due March 19, 2008 Workshop Program Committee Nick Koudas, University of Toronto Markus Helfert, Dublin City University Floris Geerts, University of Edinburgh Xuemin Lin, University of New South Wales Rosanne Price, The University of Melbourne Wasim Sadiq, SAP Research Graeme Shanks, University of Melbourne Diane Strong, Worcester Polytechnic Institute Kerry Taylor, CSIRO ICT Centre Harry Zhu, Old Dominion University Workshop Organizers Shazia Sadiq, Xiaofang Zhou School of Information Technology and Electrical Engineering The University of Queensland, Brisbane, Australia Inquiries: shazia@itee.uq.edu.au