The 2018 International Workshop on
Knowledge Management in Web Social Media (KMWSM '18)

CALL FOR PAPERS

In conjunction with the 2018 IEEE/WIC/ACM International Conference
on Web Intelligence (WI ‘18), December 3, 2018, Santiago, Chile

https://tau.usq.edu.au/KMWSM2018/
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+ Full paper submission: *** 22 July 2018 ***
+ Notification of acceptance: 19 August 2018
+ Workshop: 03 December 2018
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Web social media presents challenging knowledge management issues at
all levels – for individuals, organisations, communities, businesses
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.

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Topics of Interest
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TOPICS AND AREAS INCLUDE, BUT NOT LIMITED TO

- Big Data, Cloud Computing, Streams in terms of Social Media
- Clustering, Classification, and Ranking of Social Media Data
- Data Mining Theory, Methods, and Applications on Social Media
- Social Media Information Extraction and Filtering
- Knowledge Representation, Reasoning, and Visualisation
- Large-Scale Machine Learning, Optimisation, and Statistical Techniques
- Personalisation, Recommendation, Advertising, and Search in Social Media
- Privacy and Security in Social Media
- Semantic Understanding and Entity Extraction in Social Media
- Social Media and Social Networks
- Spatial, Temporal, and Graph Data Mining in Social Media
- Text, Multimedia, and Web Data Mining
- Time-Series, Rule, and Pattern Mining on Social Media Data

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On-Line Submissions and Publication
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Your paper should be limited to a maximum of 4 pages in the IEEE
2-column format. All submitted papers will be reviewed by at least
2 program committee members on the basis of technical quality, relevance,
significance, and clarity. The workshop only accepts on-line submissions.
All accepted papers will be included in the Workshop Proceedings published
by the IEEE Computer Society Press.

https://wi-lab.com/cyberchair/2018/wi18/scripts/ws_submit.php?subarea=S

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Organising Committee
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ORGANISERS
* Xiaohui Tao University of Southern Queensland, Australia
* Haoran Xie The Education University of Hong Kong, Hong Kong SAR
* Yongrui (Louie) Qin University of Huddersfield, United Kingdom
* Xujuan Zhou University of Southern Queensland, Australia

CONTACT
* Xiaohui Tao xiaohui.tao@usq.edu.au