Weighted fuzzy ontology for Chinese e-news summarization

Chang Shing Lee, Shu-Mei Guo, Zhi Wei Jian

Research output: Contribution to journalConference article

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) will be used to generate the weighted event ontology and the summary sentences. An experimental website 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.

Original languageEnglish
Pages (from-to)843-848
Number of pages6
JournalIEEE International Conference on Fuzzy Systems
Volume2
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest, Hungary
Duration: 2004 Jul 252004 Jul 29

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Summarization
Ontology
Intelligent agents
Domain Ontology
Fuzzy Inference
Fuzzy inference
Websites

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

Cite this

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Weighted fuzzy ontology for Chinese e-news summarization. / Lee, Chang Shing; Guo, Shu-Mei; Jian, Zhi Wei.

In: IEEE International Conference on Fuzzy Systems, Vol. 2, 01.12.2004, p. 843-848.

Research output: Contribution to journalConference article

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