KMWSM 2015 - 2015 International Workshop on Knowledge Management of Web Social Media

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.
ON-LINE SUBMISSIONS AND PUBLICATION
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.
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
ORGANISERS
* Wei Huang Hubei University of Technology, China
* Xiaohui Tao University of Southern Queensland, Australia
* Yuefeng Li Queensland University of Technology, Australia
IMPORTANT DATES
+Full paper submission: 01 June 2015
+Notification of acceptance: 15 July 2015
+Camera-ready submission: 01 September 2015
+Workshop: 06 December 2015