-------- Original-Nachricht -------- Betreff: [WI] CfP: International Workshop on Data Quality Management and Semantic Technologies (DQMST) 2012 Datum: Thu, 19 Apr 2012 10:25:53 +0200 Von: Mouzhi Ge mouzhi.ge@unibw.de Antwort an: Mouzhi Ge mouzhi.ge@unibw.de An: wi@lists.uni-karlsruhe.de
********************************************************** 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/ **********************************************************
Deadline for paper submissions: 1st June, 2012
Background and Rational ======================= 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 usage in data quality management ? Linked Data quality management ? Semantic data integration ? Natural language processing for data quality management ? Managing Linked Data provenance ? SPARQL and data quality assessment ? Measuring data quality with semantic technologies ? Improving the quality of RDF data ? Semantic data quality model and framework ? Information value in Semantic Web ? Data governance in Semantic Web ? Semantic Web applications for data quality management ? Applications 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 1st, 2012 Authors Notification: June 30th, 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 Maria Vargas-Vera, Open University, UK Andrea Maurino, University of Milano Bicocca, Italy 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 Francesco Guerra, University of Modena and Reggio Emilia, Italy César Guerra, Polytechnic University of San Luis Potosi, Mexico Olaf Hartig, Humboldt Universität zu Berlin, Germany 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
Workshop Chairs ================ Mouzhi Ge E-Business and Web Science Research Group Universitaet der Bundeswehr Munich, Germany E-Mail: Mouzhi.Ge@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@unibw.de Phone: +49-(0) 89-6004-4242 Fax: +49-(0) 89-6004-4620 www: https://www.unibw.de/wow5_3/team/mouzhi-ge
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