[agents] CFP: special issue on Knowledge Management of Web Social Media, Web Intelligence Journal

[Xiaohui Tao]

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CALL FOR PAPERS

SPECIAL ISSUE ON
KNOWLEDGE MANAGEMENT OF WEB SOCIAL MEDIA

WEB INTELLIGENCE, AN INTERNATIONAL JOURNAL
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SCOPE

Web social media presents challenging knowledge management issues
at all levels – for individuals, organizations, 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.

Targeting on the challenging issues knowledge manage of social media,
the Special Issue will focus on basic concepts and principal algorithms
suitable for investigating massive social media data. The Special Issue
will discuss theories and methodologies from different disciplines such
as computer science, data mining, information retrieval, machine learning,
and social network analysis. The discussions in the special issue will
encompass the theoretical basis and related tools to formally represent,
measure, model, and mine meaningful patterns from large-scale social media
data.

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

SUBMISSION GUIDELINE

Authors should prepare their manuscript according to the Guide for Authors
available from the online submission page of the Web Intelligence Journal
at http://wi-consortium.org/wias/submissionInst.html. All the papers will
be peer-reviewed following the Web Intelligence Journal reviewing
procedures. When submitting your manuscript, under the section of “Submit
a New Paper”, please choose this special issue: “Knowledge Management of
Web Social Media”.

IMPORTANT DATES

+ Paper submission due:    May 01, 2016
+ First notification:   June 20, 2016
+ Revision due:   August 01, 2016
+ Final decision:   August 29, 2016
+ Publication:   December 01, 2016 (tentative)

GUEST EDITORS

* Xiaohui Tao    University of Southern Queensland, Australia
* Wei Huang     Hubei University of Technology, China
* Xiangming Mu      University of Wisconsin–Milwaukee, United States
* Haoran Xie      Caritas Institute of Higher Education, Hong Kong



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