QUAT 2018

The workshop website is at: http://computing.du.se/quat/quat2018/.
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.

WISE-QUAT 2018 Program (12 November, 2018)

• 09:00- 09:05
  • Open Workshop (Prof. Martin Johanson)
• 09:05-10:30
  • Keynote session chair: Dr. Azadeh Sarkheyli
  • Keynote speaker: Prof. Martin Johanson
• 10:30-11:00
  • Tea/Coffee break
• 11:00-13:00
  • Session one chair: Amin Beheshti
  • Papers: 2, 3, 6, 7
• 13:00-14:00
  • Lunch break
• 14:00-15:30
  • Session two chair: Lisa Ehrlinger
  • Papers: 4, 8, 9
• 15:30-16:00
  • Tea/Coffee break
• 16:00-17:00
  • Session three chair: Jo˜ao Marcelo Borovina Josko
  • Papers: 1, 5

WISE-QUAT 2018 Papers for Presentation :

1. A Novel Data Quality Metric for Minimality
   • Lisa Ehrlinger and Wolfram WöB
2. Automated Schema Quality Measurement in Large-scale Information Systems
   • Lisa Ehrlinger and Wolfram WöB
3. Email importance evaluation in mailing list discussions
   • Kun Jiang, Chunming Hu, Jie Sun, and Qi Shen
4. SETTRUST: Social Exchange Theory Based Context-Aware Trust Prediction in Online Social Networks
   • Seyed Mohssen Ghafari, Shahpar Yakhchi, Amin Beheshti, and Mehmet Orgun
5. CNR: Cross-Network Recommendation Embedding User’s Personality
   • Shahpar Yakhchi, Seyed Mohssen Ghafari, and Amin Beheshti
6. Delone and McLean IS Success Model for Evaluating Knowledge Sharing
   • Azadeh Sarkheyli and William Wei Song
7. Firefly Algorithm with Proportional Adjustment Strategy
   • Jing Wang and William Wei Song
8. A Formal Taxonomy of Temporal Data Defects
   • Jo˜ao Marcelo Borovina Josko
9. Data-intensive Computing Acceleration with Python in Xilinx FPGA
   • Yalin Yang, Linjie Xu, Zichen Xu, and Yuhao Wang

Abstract of the speech (Prof. Martin Johanson):

"The title of this workshop is ”Trust in big data”, and for me, coming from business administration, that is, marketing and management, it is of particular interest how firms develop, absorb, integrate and use big data in their on-going operations. Technologies to use big data do not only provide efficiency and value for firms, but do also challenge existing organizational structure and business models. Consequently, to what extent employees and management, but also external stakeholders, like customers, suppliers and other organizations, for instance, banks, trust both the technologies and the big data in themselves is critical. The fact that big data challenge those who have competence and power in a world without big data, resistance may occur. I will here, based on some empirical studies of several big Swedish firms, discuss the nature of this resistance. The firms were formed in the old economy, and are not firms, which would not have been possible in a non-digital market. The discussion of trust in big data will circle around the people, process and outcome, and I will highlight which challenges we need to manage and address in order to build trust in big data in incumbent firms."

***********************************************************************************************************************************************

Call for Submissions / Topics of Interest

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.

1. Regular papers (12 pages), for up-to-date research results
2. Short papers (6 pages), for research in progresses

Topics include, but are not limited to, the following:

• Data quality
  • Business intelligence and analytics
  • Data quality in big data and conceptual models
  • Data quality in health data, biological data, and medical data
  • Data quality assessment, measures and improvement methodologies
  • Data quality mining
  • Privacy preserving data quality
  • Quality in data collection, processing, and storage
  • Quality in data science and business analytics
  • Data quality on novel data management architectures (cloud, streaming data, ...)
  • Data quality in environmental, transport, manufacture data
  • Data quality in the web data
  • Quality-aware analytics solutions
  • Quality for data, information, and knowledge
  • Quality of scientific, geographical, and biologic databases
  • Information quality in information systems
  • Information quality in geo-information systems (GIS)
  • Quality in learning analytics
  • Wireless sensor networking and its computation
  • ...
• Trust issues
  • Conflict resolution and data fusion
  • Cleaning extremely large datasets
  • Data scrubbing, data standardization, data cleaning techniques
  • Trust in big data,
  • Trust in social networking data,
  • Trust distribution, propagation, and computation
  • Identity and Trust Management
  • Conceptual models and algebra for trust
  • ...

Important Dates

• Deadline for submissions: 25 July, 2018 25 August, 2018
• Notification of acceptance: 25 August, 2018 15 September, 2018
• Camera-ready versions: 15 September, 2018 05 October, 2018
• Workshop day: 12 November, 2018

Submission Instructions

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).

1. Completed copyright form.
2. Source (input) files:
   1. For example, LaTeX2e files for the text and PS/EPS or PDF/JPG files for all figures.
   2. Any further style files and fonts you have used together with your source files and that are not generally available at CTAN.
   3. Final DVI file (for papers prepared using LaTeX/TeX).
   4. Final PDF file corresponding to the source files (for reference).
   5. RTF files (for word-processing systems other than LaTeX/TeX).

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=quat2018

Publications

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.)

 

General Chairs:

Prof. Yuhao Wang, Nanchang University, China
Prof. Martin Johanson, Dalarna University, Sweden
Prof. William Song, Dalarna University, Sweden, email:wso@du.se

Program Committee Chairs:

Prof. Wei Huang, Nanchang University, China
Assoc. Prof. Siril Yella, Dalarna University, Sweden
Dr. Roger G. Nyberg, Dalarna University, Sweden, email:rny@du.se

Organizing committee:

Dr. Xiaoyun Zhao, Dalarna University, Sweden
Prof. Hong Rao, Nanchang University, China
Dr. Azadeh Sarkheyli, Dalarna Unviersity, Sweden

Program Committee (PC)

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)
William Song (Dalarna, Sweden)
Bo Sundgren (Stockholm University, Sweden)
Hua Wang (SQU, Australia)
Xiaolin Zheng (Zhejing, China)
Sheng Zhang (Nanchang Hangkong University, China)
Benting Wan (Jiangxi University of Finance and Economics, China)
Sheng Zhang (Jiangxi Hangkong University, China)
Shaozhong Zhang (Zhejiang Wanli University, China)
Qingshan Deng (Jiangxi University of Fiannce and Economics, China)
Zichen Xu (Nanchang University, China)
Xiaofeng Du (British Telecom, UK)

Sponsors

Complex Systems & Microdata Analysis, Dalarna University, Sweden
School of Information Engineering, Nanchang University, China