Data Analysis for Bridging Cyber-Real Spaces (DA4BS2 2019)

Scope

   The ubiquitous adoption of sensing devices such as smart phones and heterogeneous sensors with various purposes have made the bridging of cyber and real spaces become feasible. For example, the widely deployment of city sensing facilities including high-resolution cameras, Wi-Fi hotspots, satellite imaging, etc., has driven the unprecedented development of smart city research, including the City Brain project which is proposed by Alibaba in China. Meanwhile, a large number of mobile phones carried by urban populations construct another form of sensors which can influence real world life by leveraging the data analysis between online and offline applications. Moreover, effective data analysis is especially necessary in some critical domains such as industrial production, energy grid, medical treatment, etc., usually involving hardware-in-the-loop simulation and operation simultaneously. All of above scenarios require research focuses in data analysis for bridging the two spaces, i.e., the cyber space which is implemented through network, and the real space which should be well shaped and optimized by the cyber space. We argue that, cyber space should be analyzed and provide feedback to real space in order to benefit the wellbeing of human life and society. This goal can only be achieved by cross-space data analysis which is the theme of this workshop.


WORKSHOP AREAS

  This workshop will focus on the most recent progress on data analysis from various aspects of cyber and real spaces, such as data linking and consistency analysis, incomplete data processing, interaction with data, etc. Novel applications or systems utilizing data from cyber-real spaces are also welcomed. The workshop seeks for original contribution of work, which addresses the challenges from the following topics, but not limited to:

  1.  Cross validation of data
  2.  Data quality
  3.  Data visualization and interaction
  4.  Data model and sharing
  5.  Automated data association
  6.  National language processing for cross-domain content
  7.  Long-term data storage and pattern mining
  8.  Behavior tracking/monitoring using data analysis
  9.  Data analysis in mobile social networks
  10. Urban analysis and computing
  11. Data processing for IoTs
  12.  Data analysis in mobile social networks
  13.  Real-world use cases of cross-domain data
  14.  Security and privacy issues in cross-space data analysis
  15.  Datasets and evaluation metrics for cross-space data analysis
  16.  Systems, applications, services and implementations of cross-domain data


PAPER SUBMISSION

All submissions should be written in English and submitted via our submission system: https://cmt3.research.microsoft.com/DSC2019/.


IMPORTANT DATES

  Full paper due: March 24, 2019. extend to April 8, 2019
  Acceptance notification: April 23, 2019. extend to April 30, 2019
  Camera-ready copy: April 30, 2019. extend toMay16, 2019
  Conference Date: June 23-25, 2019

ORGANIZATION

Program Chairs

Peng Wang Academy of Military Science, China
Xiao Sun Academy of Military Science, China
Yanlong ZhaiBeijing Institute of Technology, China

Program Committee

Jing Zhang, Academy of Military Science, China
Yan He, Academy of Military Science, China
Zhiqiang Liu, Academy of Military Science, China
Wangqun Lin, Academy of Military Science, China
Liang Bai, National University of Defense Technology, China
Jian Xiong, Southwestern University of Finance and Economics, China
Jianqin Yin, Bejing University of Posts and Telecommunications, China
Zhihai Wang, Bejing Jiaotong University, China
Xingxing Wei, Tsinghua University, China
Hongbo Xu,Chinese Academy of Science, China



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