DocumentCode :
2246949
Title :
Weighted fuzzy ontology for Chinese e-news summarization
Author :
Lee, Chang-Shing ; Guo, Shu-Mei ; Zhi-Wei Jian
Author_Institution :
Dept. of Inf. Manage., Chang Jung Univ., Tainan, Taiwan
Volume :
2
fYear :
2004
fDate :
25-29 July 2004
Firstpage :
843
Abstract :
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.
Keywords :
Web sites; electronic news gathering; fuzzy reasoning; information retrieval; ontologies (artificial intelligence); Chang Jung University; Chinese e-news corpus; Chinese e-news summarization; Web sites; intelligent summarization agent; parallel fuzzy inference mechanism; weighted event ontology; weighted fuzzy ontology; Computer science; Concurrent computing; Data mining; Inference mechanisms; Information management; Information retrieval; Intelligent agent; Internet; Ontologies; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN :
1098-7584
Print_ISBN :
0-7803-8353-2
Type :
conf
DOI :
10.1109/FUZZY.2004.1375513
Filename :
1375513
Link To Document :
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