SCOPE

Researchers face the challenges of making effective use of the enormous amount of Open Source Web Data in order to better understand and explain complex social systems. There are a wide variety of Open Source Web Data, including text information from traditional news media, network data from social media, individual profiles like age, occupation, location, and interests. It’s still challenging in automatically and effectively extracting, integrating and making use of information embedded in such heterogeneous data (structured and unstructured).
We invite the submission of papers that propose ways to address the variety of aspects in meeting these challenges.

WORKSHOP AREAS

The relevant topics include the following (but not limited to)

1.Text mining applications
2. Information extraction from the document corpora
3. Mining multi-relational data
4. Location prediction in Social Media
5. Occupation prediction in Social Media
6. Recommendation in Social Media

PAPER SUBMISSION

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. The papers should be in PDF format (For detailed requirements and template, please visit http://www.icdsc.net/CallForPapers.html) and submitted to the Email Address (zyding@nudt.edu.cn). All accepted papers will appear in the proceedings of the IEEE DSC2016 conference. If accepted, at least one of the authors must attend the workshop to present the work.

IMPORTANT DATES

  Full paper due: March 5, 2016
  Acceptance notification: April 15, 2016
  Camera-ready copy: April 23, 2016
  Conference Date: June 13, 2016

ORGANIZATION

Program CO-Chair

Zhaoyun Ding, National University of Defense Technology, China
Xiang Wang, National University of Defense Technology, China

Program Committee

Hui Wang, National University of Defense Technology, China
Zhongbao Zhou, Hunan University, China
Xin Zhang, National University of Defense Technology, China
Jiang Jiang, National University of Defense Technology, China
Xin Lv, National University of Defense Technology, China
Pei Li, National University of Defense Technology, China
Zhilin Zhang, Simon Fraser University, Canada

CONTACT US

zyding@nudt.edu.cn