IEEE 2016 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET 2016)

223 / 2016-01-17 14:46:42

An ExtractiveMulti-Document Summarization Technique Based on Fuzzy Logic approach

gabonese document,extraction/abstraction,multi-document summarization,fuzzy ontology

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 document summarization 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.