[AISWorld] DQMST 2012 Deadline Extension: Int. Workshop on Data Quality Management and Semantic Technologies

Mouzhi Ge mge at computing.dcu.ie
Tue Jun 12 05:35:01 EDT 2012


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International Workshop on Data Quality Management and Semantic Technologies

In conjunction with Sixth IEEE International Conference on Semantic
Computing (ICSC) 2012

  September 19-21, 2012 Palermo, Italy.
 http://www.ebusiness-unibw.org/DQMST2012/
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Paper submission deadline extended to: June 20th, 2012.


Aims and Scope
=======================
Nowadays, Semantic Web applications have been used in a broad spectrum of
domains such as e-commerce, geography, biology, or the public sector. With
the development of semantic technologies, a huge amount of data is being
published on the Semantic Web. The published data are evolving into the
”Web of Data” that is available on web-scale for retrieval and reuse of
information. Considering the significant growth of data on the Semantic
Web, one of the key challenges is the management of data quality in the
Semantic Web. Moreover, the Semantic Web has brought up new technologies
that may be useful to improve data quality management in information
systems.

Over the last decade, data quality has become a critical factor to the
success of organizations. Numerous business initiatives have been delayed
or even cancelled due to poor data quality. Analogous to data in
information systems, Semantic Web data also suffers from quality problems
such as missing or false RDF data. In order to raise the level of trust in
the Semantic Web data, it is valuable to investigate data quality issues
in the context of the Semantic Web. Semantic technologies may provide new
solution options for data quality management. Therefore we believe that in
addition to applying previous data quality research on Semantic Web, there
are opportunities of finding new data quality models, frameworks,
methodologies, and applications by using semantic technologies.

The aim of this workshop is to bring the Semantic Web and data quality
research communities together and identify new innovative possibilities
for addressing data quality issues with semantic technologies. Moreover,
we aim to provide a platform for discussing approaches, models, results,
case studies, best practices, evaluation techniques, and implementation
tools that are related to data quality management within Semantic Web.

Topics of interest include but are not limited to the following list:
==================
    Data quality management approaches in Semantic Web
    Ontology-based data quality management
    Quality of Linked Data
    Semantic data integration
    Data cleansing in Semantic Web
    Natural language processing for data quality management
    Provenance-aware data quality
    SPARQL and data quality assessment
    Measuring data quality with semantic technologies
    Improving quality of RDF data
    Data governance for Semantic Web
    Semantic data quality model and application
    Information value in Semantic Web
    Semantic Web applications for data quality management
    Frameworks that assess, analyze, and improve semantic data quality


Paper submissions
=================
Regular Papers should be no longer than eight (8) pages, Short Papers
should be no longer than four (4) pages. All paper submissions will be
carefully reviewed by at least three experts and reviews will be returned
to the author(s) with comments to ensure the high quality of the accepted
papers. The authors of accepted papers must guarantee that their paper
will be presented at the conference. Please only submit original material
where copyright of all parts is owned by the authors declared and which is
not currently under review elsewhere. Please see the IEEE policies for
further information.

Only electronic submission will be accepted. Authors MUST submit their
manuscripts through EasyChair. Please follow
http://www.easychair.org/conferences/?conf=dqmst2012 (please register if
not an EasyChair user).

Extended versions of outstanding papers will be fast-tracked to
International Journal of Information Quality


Important Dates
===============
Paper Submission: June 20th, 2012
Authors Notification: July 9th, 2012
Final Paper Submission and Registration: July 15th, 2012


Workshop Program Committee
================
Ismael Caballero, University of Castilla-La Mancha, Spain
Markus Helfert, Dublin City University, Ireland
Yang Lee, Northeastern University, USA
Andy Koronios, University of South Australia, Australia
Dietmar Jannach, Technical University Dortmund, Germany
Cinzia Cappiello, Politecnico di Milano, Italy
Andrea Maurino, University of Milano Bicocca, Italy
Paolo Missier, Newcastle University, UK
Owen Foley, Galway Mayo Institute of Technology, Ireland
Ying Su, Institute of Scientific and Technical Information of China, China
Lorena Etcheverry, Universidad de La República, Uruguay
Maria Madlberger, Webster Vienna Private University, Austria
Vojtech Svatek, University of Economics, Prague, Czech Republic
Francesco Guerra, University of Modena and Reggio Emilia, Italy
César Guerra, Polytechnic University of San Luis Potosi, Mexico
Adriana Marota, Universidad de La República, Uruguay
Bene Rodriguez-Castro, Universitaet der Bundeswehr Munich, Germany
Jing Gao, University of South Australia, Australia
Ke Xu, Microsoft, USA
María Espona, Asociación Argentina de Calidad de Datos, Argentina
Thoa Pham, Dublin Institute of Technology, Ireland
Leena Suhl, University of Paderborn, Germany
Mielke Michael, Deutsche Gesellschaft für Informations- und Datenqualität,
Germany



Workshop Chairs
================
Mouzhi Ge (primary contact)
E-Business and Web Science Research Group
Universitaet der Bundeswehr Munich, Germany
E-Mail: Mouzhi.Ge at unibw.de

Christian Fuerber
E-Business and Web Science Research Group
Universitaet der Bundeswehr Munich, Germany

Martin Hepp
E-Business and Web Science Research Group
Universitaet der Bundeswehr Munich, Germany



----
Dr. Mouzhi Ge
E-Business & Web Science Research Group
Universitaet der Bundeswehr Munich, Germany
Email: mouzhi.ge at unibw.de
Phone: +49-(0) 89-6004-4242
Fax:   +49-(0) 89-6004-4620
www:   http://www.unibw.de/ebusiness/team/mouzhi-ge




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