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