Visualization on relationships of cooperative work logs from semantic dimensional feature space

• Published in: Proceedings of the 2012 IEEE 16th International Conference on Computer Supported Cooperative Work in Design (CSCWD) pp. 438 - 443
• Main Authors: Guanting Shen, Xiaoping Liu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-05-2012
• Subjects: cooperative work log; dimension reduction; dimensional feature space semantic; Neodymium; semantic; Visualization
• ISBN: 9781467312110; 1467312118
• DOI: 10.1109/CSCWD.2012.6221855

Cooperative work logs can assist workers in disperse space to share cooperative work information. But there is just work flow control for work logs in currently cooperative work model. At the same time, the show of cooperative work logs is limited by chronological order. In this case, the staff of the cooperative project cannot recognize the relationships of numerous cooperative work logs and the controller cannot fast positioning current core work step. For mining the semantic relationships in cooperative work logs, this paper promotes a novel method, a visualization method of dimension reduction of log text semantic dimensional feature space, which help co-workers arranged in different parts of the cooperative work see the whole semantic structure clearly and assist the controller fast positioning the current core step. Thus, the controller is able to make a strategic decision for further work steps. In the end, the prototype of visualization platform is applied in the practical cooperative design of wire harness and proves this method was effective in fast positioning key emphasis in cooperative work by visualization of semantic relationships in cooperative work logs.