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NEW!
Accepted Paters (PDF,
Presentation)
Keynote
Opening
Poor data quality is known to compromise
the credibility and efficiency of commercial as well as public endeavours.
Several developments from industry and 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 profiling, 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:
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Data integration,
linkage and fusion
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Entity resolution,
duplicate detection, and consistency checking
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Data profiling and
measurement
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Use of data mining
for data quality assessment
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Methods for data
transformation, reconciliation, consolidation
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Algorithms for data
cleansing
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Data quality and
cleansing in information extraction
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Dealing with
uncertain or noisy data (e.g., sensor data)
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Data lineage and
provenance
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Models, frameworks,
methodologies and metrics for data quality
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Application specific
data quality, case studies, experience reports
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User/social
perceptive on data quality and cleansing
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Data quality and
cleansing for complex data (e.g. documents, semi-structured data, XMLs,
multimedia data, graphs, bio-sequences etc.)
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 Program
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. More details will come after the paper submission.
Submission of Papers
The MCIS
2009 submission site is now open at https://cmt.research.microsoft.com/MCIS2009/. The submission deadline is 15
Jan. 2009
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 fifteen (15) pages, following Springer-Verlag's LNCS
manuscript submission guidelines, available at http://www.springer.de/comp/lncs/authors.html.
Publication
All
papers accepted by MCIS 2009 will be published in a combined volume of Lecturer
Notes in Computer Science series published by Springer (Approved). MCIS
2009 will benefit from the registration process of DASFAA 2009 (we will
have a single registration for conferences, workshops and tutorials).
Important Dates
15 Jan, 2009
Submission of paper (extend to 31 Jan, 2009)
28 Feb, 2009
Notification of acceptance (extend to 15 Mar, 2009)
15 Mar, 2009
Camera ready (extend to 25 Mar, 2009)
20 April, 2009 Workshop
Program Committee
Yi
Chen,
Arizona State University (USA)
Markus Helfert,
Dublin City University (UK)
Ruoming
Jin,
Kent State University (USA)
Chen
Li,
UC Irvine (USA)
Jiaheng
Lu,
Renmin University (China)
Graeme
Shanks, Monash University
(Australia)
Can
Turker,
FGCZ Zurich, (Switzerland)
Haixun
Wang, IBM
(USA)
Xuemin
Lin,
UNSW (Australia)
Workshop Organizers
Shazia
Sadiq, Xiaofang Zhou, Ke Deng
School of Information Technology and Electrical Engineering
The University of Queensland, Brisbane, Australia
Inquiries: shazia@itee.uq.edu.au
Xiaochun
Yang
School of Information Science and Engineering,
Northeastern University, China
Inquiries: yangxc@mail.neu.edu.cn
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