The workshop website is at: http://computing.du.se/quat/quat2019/.
The problem of data quality in data processing, data management, data analysis, and information systems largely and indistinctly affects every application domain, especially at the era of "Big Data". "Big Data" has the characteristics of huge volume in data and a great variety of structures or no structure. "Big Data" is increased at a great velocity everyday and may be less trustable. The use of big data underpins critical activities in all sectors of our society. Many data processing tasks (such as data collection, data integration, data sharing, information extraction, and knowledge acquisition) require various forms of data preparation and consolidation with complex data processing and analysis techniques. Achieving the full transformative potential of "Big Data" requires both new data analysis algorithms and a new class of systems to handle the dramatic data growth, the demand to integrate structured and unstructured data analytics, and the increasing computing needs of massive scale analytics. The consensus is that the quality of data and the veracity of data have to span over the entire process of data collection, preparation, analysis, modelling, implementation, use, testing, and maintenance, including novel algorithms and usable systems.
The goal of this workshop is to provide an international forum for the researchers in the areas of web technology, e-services, social networking, big data, data processing, trust, sensor networking, and GIS to discuss and exchange their recent research findings and achievements. The workshop is expected to have two types of papers, regular ones and short ones, in order to attract the most up-to-date research results and research in progresses.
Topics include, but are not limited to, the following:
A full paper should not exceed 12 pages in LNCS (Lecture Notes in Computer Science) format. http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
A short paper, mainly addressing the work-in-progress, should not exceed 6 pages still in LNCS format.
http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0
Please follow the following instructions provided by Springer when preparing your camera ready. Please package all your submission files as one file (.rar or .zip).
The texts in all files must be identical.
All papers must be submitted in PDF format.
Please ensure that any special fonts are embedded in the submitted documents. It is essential that the submitted papers print without difficulty on a variety of printers using Adobe Acrobat Reader.
All submissions will be handled electronically. Each submission will be reviewed by at least three members of the program committee.
Submit you paper here at: the EasyChair conference paper submission website, https://easychair.org/conferences/?conf=quat2019
The workshop proceedings will be published as a part of the conference proceedings in LNCS, Springer. An extended version of the best papers, selected by the reviewers, will be considered for inclusion in a special issue of the international journals, International Journal of Web Services Research (IJWSR), International Journal of Knowledge Engineering and Data Mining (IJKEDM), and Journal of Intelligent Systems (indexed by SCI, ISI, EI, etc.) (A Special Issue of International Journal on Web Services Research, IJWSR indexed by SCI, had been successfully organized for the extended best papers for QUAT 2013.)
Prof. Yuhao Wang, Nanchang University, China
Prof. William Song, Dalarna University, Sweden, email:wso@du.se
Prof. Hong Rao, Nanchang University, China
Dr. Roger G. Nyberg, Dalarna University, Sweden, email:rny@du.se
Prof. Zichen Xu, Nanchang University, China
Dr. Azadeh Sarkheyli, Dalarna Unviersity, Sweden
Dr. Xiaoyun Zhao, Dalarna University, Sweden
Anders G. Nilsson (Stockholm University, Sweden)
David Budgen (Durham, UK)
Christer Carlsson (Åbo, Finalnd)
Deren Chen (Zhejiang, China)
Hercules Dalianis (Stockholm, Sweden)
Xiaofeng Du (BT, UK - Publicity)
Hasan Fleyeh (Dalarna, Sweden)
Johan Håkansson (Dalarna, Sweden)
Paul Johannesson (Stockholm, Sweden)
Michael Lang (Galway, Ireland)
Yang Li (BT, UK)
Henry Linger (Monash, Australia)
Christer Magnusson (Stockholm, Sweden)
Malcolm Munro (Durham, UK)
Jaroslav Pokorny (Charles University in Prague, Czech Republic)
Hong Rao (Nanchang University)
William Song (Dalarna, Sweden)
Hua Wang (SQU, Australia)
Xiaolin Zheng (Zhejing, China)
Complex Systems & Microdata Analysis, Dalarna University, Sweden
School of Information Engineering, Nanchang University, China