Ontology population from quranic translation texts based on a combinationof linguistic patterns and association rules

Taher Weaam, Saidah Saad

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

With the increasing volume of English translation of Islamic documents available on the web, there is a need to retrieve and extract important information in order to fully understanding these documents. Understanding the Quran is a grand challenge for society, for western public education, for Muslim-world education, for knowledge representation and reasoning and for knowledge extraction from text. Ontology learning from the Quran text is challenging task due to the nature of the Quran text which has scattered organization of knowledge and its unique feature. This paper illustrates an ontology learning based on a hybrid method which combines lexico-syntactic patterns and association rules for English translation of the meaning of the Quran text. First, this paper designs a new two layers of filtering method which combine linguistic and statistical methods for concept extraction. Second, this work designs a new hybrid method based on lexico-syntactic patterns and association rules method for relation extraction. The results showed that using the two layers of extraction prove to be adequate and efficient measures for automatic extraction of Quranic concepts with an overall F-measure of 85.3%. In addition, the results obtained indicate that the used methods are very suitable technique for extracting relation from with an overall F-measure of 87.3% and 88.3% respectively.

Original languageEnglish
Pages (from-to)250-257
Number of pages8
JournalJournal of Theoretical and Applied Information Technology
Volume86
Issue number2
Publication statusPublished - 20 Apr 2016

Fingerprint

Association rules
Association Rules
Linguistics
Ontology
Ontology Learning
Hybrid Method
Syntactics
Knowledge Representation and Reasoning
Knowledge Extraction
Education
Statistical method
Knowledge representation
Filtering
Statistical methods
Text
Syntax
Concepts
Design

Keywords

  • Association rules
  • Ontology learning
  • Pattern extraction
  • Quran
  • Statistical methods

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

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