Topic Identification and Visualization for Open Team Innovation Argumentation
LI Xin-mia · Journal of systems management · 2015
The global innovation landscape is changing open innovation.In open innovative team,electronic argumentation based on Web is becoming one of the most primary and important innovative activities.It is very important to mine,identify and visualize the argumentation topic of mass argumentation information in the process of open team innovation.These benefit not only mastering the whole team progress and the latest development rapidly and accurately,but also recommending appropriate knowledge and field experts to team members according to their argumentation topics.In order to strike on the main problems of classic text topic mining,an automatic topic identification method is studied and proposed in this paper.A semantic computing method based on argumentation ontology and argumentation tree structure is proposed and built during documentation modeling phase.AntSA algorithm is employed for short-text clustering during topic mining phase.The contribution ratio of the nouns in each category node to argumentation topics is proposed and computed to identify topics of each category.Consequently,the visualization system of topic identification for open team innovation argumentation is designed anddevelopment based on the proposed method.The visualization system is able to automatically identify and intuitively exhibit semantic relationships and structural relationships between various argumentation topics.Experiment study of topic identification method for open team innovation argumentation is conducted as well.