TY - JOUR
T1 - Visualizing the expertise space
AU - Huang, Zan
AU - Chen, Hsinchun
AU - Guo, Fei
AU - Xu, Jennifer Jie
AU - Wu, Soushan
AU - Chen, Wun Hwa
PY - 2004
Y1 - 2004
N2 - Expertise management systems are being widely adopted in organizations to manage tacit knowledge embedded in employees' heads. These systems have successfully applied many information technologies developed in fields such as information retrieval and document management to support expertise information collection, processing, and distribution. In this paper, we investigate the potentials of applying visualization techniques to support exploration of an expertise space. We implemented two widely applied dimensionality reduction visualization techniques, the self-organizing map and multidimensional scaling, to generate expert map and expertise field map visualizations based on an expertise data set. Our proposed approach is generic for automatic mapping of expertise space of an organization, research field, scientific domain, etc. Our initial analysis on the visualization results indicated that the expert map and expertise field map captured useful underlying structures of the expertise space and had the potential to support more efficient and effective expertise information searching and browsing.
AB - Expertise management systems are being widely adopted in organizations to manage tacit knowledge embedded in employees' heads. These systems have successfully applied many information technologies developed in fields such as information retrieval and document management to support expertise information collection, processing, and distribution. In this paper, we investigate the potentials of applying visualization techniques to support exploration of an expertise space. We implemented two widely applied dimensionality reduction visualization techniques, the self-organizing map and multidimensional scaling, to generate expert map and expertise field map visualizations based on an expertise data set. Our proposed approach is generic for automatic mapping of expertise space of an organization, research field, scientific domain, etc. Our initial analysis on the visualization results indicated that the expert map and expertise field map captured useful underlying structures of the expertise space and had the potential to support more efficient and effective expertise information searching and browsing.
UR - http://www.scopus.com/inward/record.url?scp=12344291312&partnerID=8YFLogxK
M3 - 会议文章
AN - SCOPUS:12344291312
SN - 1060-3425
VL - 37
SP - 585
EP - 594
JO - Proceedings of the Hawaii International Conference on System Sciences
JF - Proceedings of the Hawaii International Conference on System Sciences
M1 - CLUSR04
T2 - Proceedings of the Hawaii International Conference on System Sciences
Y2 - 5 January 2004 through 8 January 2004
ER -