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Reseach Article

An Ontology-based Summarization System for Arabic Documents (OSSAD)

by Ibrahim Imam, Nihal Nounou, Alaa Hamouda, Hebat Allah Abdul Khalek
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 17
Year of Publication: 2013
Authors: Ibrahim Imam, Nihal Nounou, Alaa Hamouda, Hebat Allah Abdul Khalek
10.5120/12980-0237

Ibrahim Imam, Nihal Nounou, Alaa Hamouda, Hebat Allah Abdul Khalek . An Ontology-based Summarization System for Arabic Documents (OSSAD). International Journal of Computer Applications. 74, 17 ( July 2013), 38-43. DOI=10.5120/12980-0237

@article{ 10.5120/12980-0237,
author = { Ibrahim Imam, Nihal Nounou, Alaa Hamouda, Hebat Allah Abdul Khalek },
title = { An Ontology-based Summarization System for Arabic Documents (OSSAD) },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 17 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number17/12980-0237/ },
doi = { 10.5120/12980-0237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:34.785901+05:30
%A Ibrahim Imam
%A Nihal Nounou
%A Alaa Hamouda
%A Hebat Allah Abdul Khalek
%T An Ontology-based Summarization System for Arabic Documents (OSSAD)
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 17
%P 38-43
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the problem of increased web resources and the huge amount of information available, the necessity of having automatic summarization systems appeared. Since summarization is needed the most in the process of searching for information on the web, where the user aims at a certain domain of interest according to his query, domain-based summaries would serve the best. Despite the existence of plenty of research work in the domain-based summarization in English, there is lack of them in Arabic due to the shortage of existing knowledge bases. In this paper an Ontology-based Summarization System for Arabic Documents, OSSAD, is introduced. Domain knowledge is extracted from an Arabic corpus and represented by topic related concepts/keywords and the lexical relations among them. The user's query is first expanded by using the Arabic WordNet and then by adding the domain-specific knowledge base to the expansion. For summarization, decision tree algorithm (C4. 5) is used, which was trained by a set of features extracted from the original documents. For the testing dataset, Essex Arabic Summaries Corpus (EASC) was used. Recall Oriented Understudy for Gisting Evaluation (ROUGE) was used to compare OSSAD summaries with the human summaries along with other automatic summarization systems, showing that the proposed approach demonstrated promising results.

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Index Terms

Computer Science
Information Sciences

Keywords

Arabic text summarization Knowledge-based summarization Query expansion Ontology extraction from text Arabic WordNet