226 / 2016-01-19 12:43:08
An ExtractiveMulti-Document Summarization Technique Based on Fuzzy Logic approach
gabobese ,extraction/abstraction,document summarization,fuzzy ontology,technique
Draft Accepted
Evrard Stency Larys TSOUMOU / Beijing Institute of Technology
Shi Chong Yang / Beijing Institute of Technology
Linjing Lai / Beijing Institute of Technology
with the high demand of online services
information, with the widespread application of electronic
learning technologies too at all levels, and with the
expansion of World Wide Web services due to the growing
explosion of information during these recent years text
summarization has become primordial to provide efficient
mechanisms to resume and present effective textual
information.This technology can summarize multiple or
single documents to get a summary. For hat, a
documentsummarization can be classified according to the
type of summary: extractive, and abstractive. Extractive
Summary is the procedure of identifying important sections
of the text and producing them verbatim while
abstractive summary aims to produce important material
in a new generalized form.In this paper we develop
method based on Fuzzy ontology extraction technique.We
focus this research only in the purpose to introduce a
Multi-Document Summarization Technique for Gabonese
Documents. And in the purpose to realize a comparative
study between our general approach and current techniques
we adopt Timestamp as the comparative method. This
research approach successfully generates a summary with
greater information.
Important Date
  • Conference Date

    Mar 23

    2016

    to

    Mar 25

    2016

  • Nov 30 2015

    Early Bird Registration

  • Dec 30 2015

    Draft paper submission deadline

  • Jan 30 2016

    Draft Paper Acceptance Notification

  • Feb 05 2016

    Final Paper Deadline

  • Mar 25 2016

    Registration deadline

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