The 2015 International Workshop on Knowledge Management of Web Social Media

Країна: Сингапур

Місто: Singapore

Тези до: 01.06.2015

Дати: 06.12.15 — 06.12.15

Область наук: Соціологічні;

Е-мейл Оргкомітету:

Організатори: Faculty of Economy and Management, Hubei University of Technology


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.


- 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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