2nd Int. Workshop on Knowledge Management of Web Social Media (KMWSM 2017)

Topics of Interest | Submission Guidelines | Important Dates | Workshop Oganizers | Program Committee

Web social media presents challenging knowledge management issues at all levels – for individuals, organizations, communities, business, and governments. Knowledge management is the process of capturing, developing, sharing, and effectively using organisational knowledge. Web social media is different from traditional or industrial media in many ways, including quality, reach, frequency, usability, immediacy, and permanence. Such characteristics have made knowledge management on web social media more challenging than ever before. Breakthroughs need to be made on many technological bottlenecks, such as; i) how to gain the capability of dealing with an incredible volume of information; ii) how to overcome the difficulty of extracting relevant knowledge from the information deluge; iii) how to not only manage information but also make it productive; and iv) how to transit valuable information into business value. The challenges and potential benefits of knowledge management of web social media have attracted much attention from the researchers to make many great achievements in recent years.

Topics of Interest

Topics include but are not limited to:

  1. Big Data, Cloud Computing, Streams in terms of Social Media
  2. Clustering, Classification, and Ranking of Social Media Data
  3. Data Mining Theory, Methods, and Applications on Social Media
  4. Social Media Information Extraction and Filtering
  5. Knowledge Representation, Reasoning, and Visualisation
  6. Large-Scale Machine Learning, Optimisation, and Statistical Techniques
  7. Personalisation, Recommendation, Advertising, and Search in Social Media
  8. Privacy and Security in Social Media
  9. Semantic Understanding and Entity Extraction in Social Media
  10. Social Media and Social Networks
  11. Spatial, Temporal, and Graph Data Mining in Social Media
  12. Text, Multimedia, and Web Data Mining
  13. Time-Series, Rule, and Pattern Mining on Social Media Data

Submission Guidelines

Paper submissions should be limited to 6 – 8 pages for regular papers or 4 pages for short papers in ACM 2-column format. The style files for paper submission can be obtained from the WI2017 site or http://webintelligence2017.com/participants/submissions/#submission
All submitted papers will be reviewed by at least 2 program committee members on the basis of technical quality, relevance, significance, and clarity. Accepted papers will be published in the conference workshop proceedings by ACM and indexed by EI. Extended versions of the outstanding papers will also be eligible for publication in the Social Annotations for Multimedia Resources – a special issue of Advances in Multimedia Journal (http://www.hindawi.com/journals/am/si/395073/cfp/), after further review process.
Papers have to be submitted via the cyberchair submission page and according to the rules specified on this page: https://wi-lab.com/cyberchair/2017/wi17/scripts/submit.php?subarea=S03&undisplay_detail=1&wh=/cyberchair/2017/wi17/scripts/ws_submit.php

Important Dates

  • May 21, 2017: Submission deadline of Workshop papers
  • June 18, 2017: Notification of Workshop paper acceptance
  • June 26, 2017: Camera-Ready Papers (Workshops)
  • August 23-26, 2017: Main conference
  • Workshop Oganizers

    Xujuan Zhou, University of Southern Queensland, Australia, xujuan.zhou@usq.edu.au
    Wei Huang, Hubei University of Technology, China, weihuang@mail.hbut.edu.cn
    Haoran Xie, The Education University of Hong Kong, Hiong Kong, hxie@eduhk.hk
    Xiaohui Tao, University of Southern Queensland, Australia, xtao@usq.edu.au