[dbjapan] dasfaa workshop

[Masaru Kitsuregawa <kitsure [at] tkl.iis.u-tokyo.ac.jp>]

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

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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 [at] 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 [at] itee.uq.edu.au