Textual Knowledge Flow Based Intelligent Browsing of Topics

Textual Knowledge Flow (TKF) provides an effective technique and theoretical support for intelligent browsing. In order to realize the intelligent browsing of topics in Web or Library, TKF based intelligent browsing of topics is proposed. Firstly, topics are represented by Element Fuzzy Cognitive Maps (E-FCMs); then semantic values of concepts and semantic influences of relations are calculated based on their frequencies and weights in E-FCMs library. Thirdly, semantic similarity degrees between topics are calculated for building the Semantic Link Network (SLN). Fourthly, with the help of SLN and user's demand, TKF between similar topics is activated as browsing path of topics to guide user's browsing behavior. Experimental results show that the browsing path of topics is easy to be built by the proposed method. TKF based topic browsing has a brilliant perspective in the applications of intelligent browsing, knowledge grid and semantic Web.