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Semantic Network based Classifier of Holy Quran

by Naseem Shahzadi, Atta-ur-rahman, Mohammad Jamil Sawar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 39 - Number 5
Year of Publication: 2012
Authors: Naseem Shahzadi, Atta-ur-rahman, Mohammad Jamil Sawar
10.5120/4820-7069

Naseem Shahzadi, Atta-ur-rahman, Mohammad Jamil Sawar . Semantic Network based Classifier of Holy Quran. International Journal of Computer Applications. 39, 5 ( February 2012), 43-47. DOI=10.5120/4820-7069

@article{ 10.5120/4820-7069,
author = { Naseem Shahzadi, Atta-ur-rahman, Mohammad Jamil Sawar },
title = { Semantic Network based Classifier of Holy Quran },
journal = { International Journal of Computer Applications },
issue_date = { February 2012 },
volume = { 39 },
number = { 5 },
month = { February },
year = { 2012 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume39/number5/4820-7069/ },
doi = { 10.5120/4820-7069 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:25:42.204665+05:30
%A Naseem Shahzadi
%A Atta-ur-rahman
%A Mohammad Jamil Sawar
%T Semantic Network based Classifier of Holy Quran
%J International Journal of Computer Applications
%@ 0975-8887
%V 39
%N 5
%P 43-47
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Automated Text Categorization (ATC) is a useful technology to build such software tool that can categorize a document to one of many predefined categories. Unfortunately there is no as such classifier for Holy Quran, one of the most important documents of the universe. This is because Holy Quran is written in Arabic and Arabic language processing is yet not that mature that language processing can be done. This paper aims on building a software tool that can categorize any verse of Holy Quran to one of predefined categories and if it is not falling in one of predefined categories it can automatically define a new category. New category will be added to database for future categorization process. Moreover, this categorization is not just based upon word count rather it is based upon word as well as meaning of the words in the verse and there correspondence in semantic network. The semantic network for this task is created and used in this classification. This tool will help those people who want to know the theme of a verse of Holy Quran.

References
  1. Fabrizio Sebastiani. Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1–47, 2002.
  2. Bates, M. (1995). Models of natural language understanding. Proceedings of the National Academy of Sciences of the United States of America, Vol. 92, No. 22 (Oct. 24, 1995), pp. 9977–9982.
  3. Allen, J. and A. Frisch (1982). "What's in a Semantic Network". In: Proceedings of the 20th. annual meeting of ACL, Toronto, pp. 19-27.
  4. John F. Sowa, Alexander Borgida (1991). Principles of Semantic Networks: Explorations in the Representation of Knowledge.
  5. Mohammed Naji Al-Kabi, Riyad Al-Shalabi, “Statistical Classifier of Holy Quran Verses (Fatiha and Yaseen Chapters)”, Journal of Applied Sciences 5(3):580-583, 2005.
  6. Naseem Shahzadi, Atta-ur-rahman, Adil Shaheen, “Semantic Network based Semantic Search of Religious Repository”, International Journal of Computer Applications. Vol. (36), No. 9, December 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Automated Text Categorization Semantic Network Semantic Search

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