- From: Martin Hepp <martin.hepp@ebusiness-unibw.org>
- Date: Tue, 8 May 2012 12:43:11 +0200
- To: semantic-web@w3.org, public-lod@w3.org
FYI Begin forwarded message: > From: "Mouzhi Ge" <mouzhi.ge@unibw.de> > Date: April 19, 2012 10:25:53 AM GMT+02:00 > To: wi@lists.uni-karlsruhe.de > Subject: [WI] CfP: International Workshop on Data Quality Management and Semantic Technologies (DQMST) 2012 > Reply-To: "Mouzhi Ge" <mouzhi.ge@unibw.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 > > > > > -- > Mailing-Liste: wi@aifb.uni-karlsruhe.de > Administrator: wi-admin@aifb.uni-karlsruhe.de > Konfiguration: https://www.lists.uni-karlsruhe.de/sympa/info/wi -------------------------------------------------------- martin hepp e-business & web science research group universitaet der bundeswehr muenchen e-mail: hepp@ebusiness-unibw.org phone: +49-(0)89-6004-4217 fax: +49-(0)89-6004-4620 www: http://www.unibw.de/ebusiness/ (group) http://www.heppnetz.de/ (personal) skype: mfhepp twitter: mfhepp Check out GoodRelations for E-Commerce on the Web of Linked Data! ================================================================= * Project Main Page: http://purl.org/goodrelations/
Received on Tuesday, 8 May 2012 10:43:47 UTC