Call for papers

Special Sessions

Keynote Speakers








Organized by
Federal University of Rio de Janeiro, Brazil
CSCWD International Working Group

Co-Sponsored by
IEEE SMC Society
Yunnan University, China
Zhejiang University Institute of Computing Innovation, China
University of Tech of Compiegne, France
Kunming University, China

General Conference Chair
Adriana Vivacqua

General Conference Co-Chairs
Amy Trappey
Jano de Souza
Marco Borges
Marie-Hélène Abel
Songlin He
Yong Tang

Program Committee Co-Chairs
Weiming Shen
Jean-Paul Barthès
Junzhou Luo
Daniel Schneider
Cheng Xie

Publication Chair
Jinghui Zhang

Special Session Chair
Haibin Zhu

Finance Chair / Treasurer
Kunkun Peng

Local Arrangement Chair
Claudia Motta

International Steering Committee

Jean-Paul Barthès
Junzhou Luo
Weiming Shen

Jinghui Zhang

Pedro Antunes
Marcos Borges
Kuo-Ming Chao
Gang Chen
Jano de Souza
Susan Finger
Giancarlo Fortino
Liang Gao
Ning Gu
Anne James
Peter Kropf
Weidong Li
Xiaoping P. Liu
Xiaozhen Mi
Hugo Paredes
José A. Pino
Yanjun Shi
Amy Trappey
Chunsheng Yang
Yun Yang
Jianming Yong
Qinghua Zheng


SS5: Collaborative Knowledge Creation and Sharing in Complex Processes              


·   Organizers


Hongwei Wang, Zhejiang University, China - 54585458@qq.com, hongweiwang@zju.edu.cn

·   Description/Abstract


The development of complex artifacts and systems entails effective and frequent sharing of knowledge throughout the development process and across multiple disciplines. To address the challenge of knowledge creation in this kind of complex process, the need to develop advanced computational methods in support of the creation and sharing of knowledge in a collaborative manner has been raised. This special session precisely aims to focus on novel research work that attempts to address this need by bridging two important aspects, namely Knowledge Management (KM) and collaboration. This specifically involves: (1) collaborative systems to facilitate KM; (2) enabling collaboration through effective KM; and (3) advanced computational methods that deal with the large amount of data generated and on this basis support extraction and retrieval of knowledge. The theories, models, methods and tools for these three aspects are of interest to this session.