Weighted fuzzy ontology for Chinese e-news summarization

A weighted fuzzy ontology (WFO) derived from a Chinese e-news corpus and a predefined domain ontology for Chinese e-news summarization is proposed in this paper. We utilize a parallel fuzzy inference mechanism (PFIM) to compute the weight of each concept for the WFO. Then, a WFO-based intelligent summarization agent (WFOISA) is used to generate the weighted event ontology and the summary sentences. An experimental Web site at Chang Jung University is constructed to test the performance of the proposed approach. The results show that the intelligent summarization agent with WFO can effectively perform the Chinese e-news summarization.