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    MCIS 2010 - 3rd International Workshop on Managing Data Quality in Collaborative Information Systems (MCIS2010)

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    Website dasfaa2010.cs.tsukuba.ac.jp/ | Want to Edit it Edit Freely

    Category MCIS 2010

    Deadline: December 11, 2009 | Date: April 04, 2010

    Venue/Country: Tsukuba, Japan

    Updated: 2010-06-04 19:32:22 (GMT+9)

    Call For Papers - CFP

    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:
    1. Data integration, linkage and fusion
    2. Entity resolution, duplicate detection, and consistency checking
    3. Data profiling and measurement
    4. Use of data mining for data quality assessment
    5. Methods for data transformation, reconciliation, consolidation
    6. Algorithms for data cleansing
    7. Data quality and cleansing in information extraction
    8. Dealing with uncertain or noisy data (e.g., sensor data)
    9. Data lineage and provenance
    10. Models, frameworks, methodologies and metrics for data quality
    11. Application specific data quality, case studies, experience reports
    12. User/social perceptive on data quality and cleansing
    13. Data quality and cleansing for complex data (e.g. documents, semi-structured data, XMLs, multimedia data, graphs, biosequences, etc.)
    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
    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 MCIS 2010 is https://cmt.research.microsoft.com/MCIS2010/
    Publication
    Proceedings are planned to be published as a volume of Lecture Notes in Computer Science (LNCS) from Springer after the workshops. At the workshop site, we will hand out informal on-site proceedings to participants.
    Important Dates
    Dec. 11, 2009 Paper submission deadline
    Feb. 12, 2010 Acceptance notification to authors
    Feb. 26, 2010 On-site paper deadline
    Apr. 26, 2010 Final camera-ready copy deadline
    Apr. 4, 2010 Workshop
    Program Committee
    Adam Jatowt, Kyoto University, Japan
    Bin Wang, Northeastern Univeristy, China
    Cheqing Jin, East China Normal University, China
    Lei Chen, Hong Kong University of Science and Technology
    Jiuyong Li, University of South Australia, Australia
    Jun Gao, Peking University, China
    Qing Liu, CSIRO, Australia
    Marek Kowalkiewicz, SAP Australia
    Marta Indulska, University of Queensland
    Mohamed Medhat Gaber, Monash University Australia
    Wanita Sherchan, CSIRO Australia
    Yanfeng Shu, CSIRO Australia
    Workshop Organizers
    Shazia Sadiq, Xiaofang Zhou, Ke Deng
    School of Information Technology and Electrical Engineering
    The University of Queensland, Brisbane, Australia
    Inquiries: shazia, dengke, zxfatitee.uq.edu.au
    Xiaochun Yang
    School of Information Science and Engineering,
    Northeastern University, China
    Inquiries: yangxcatmail.neu.edu.cn

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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