Research Article Open Access

Query Translation using Concepts Similarity Based on Quran Ontology for Cross-Language Information Retrieval

Zulaini Yahya1, Muhamad Taufik Abdullah1, Azreen Azman1 and Rabiah Abdul Kadir1
  • 1 Universiti Putra Malaysia, Malaysia

Abstract

In Cross-Language Information Retrieval (CLIR) process, the translation effects have a direct impact on the accuracy of follow-up retrieval results. In dictionary-based approach, we are dealing with the words that have more than one meaning which can decrease the retrieval performance if the query translation return an incorrect translations. These issues need to be overcome using efficient technique. In this study we proposed a Cross-Language Information Retrieval (CLIR) method based on domain ontology using Quran concepts for disambiguating translation of the query and to improve the dictionary-based query translation. For experimentation, we use Quran ontology written in English and Malay languages as a bilingual parallel-corpora and Quran concepts as a resource for cross-language query translation along with dictionary-based translation. For evaluation, we measure the performance of three IR systems. IR1 is natural language query IR, IR2 is natural language query CLIR based on dictionary (as a Baseline) and IR3 is the retrieval of this research proposed method using Mean Average Precision (MAP) and average precision at 11 points of recall. The experimental result shows that our proposed method brings significant improvement in retrieval accuracy for English document collections, but deficient for Malay document collections. The proposed CLIR method can obtain query expansion effect and improve retrieval performance in certain language.

Journal of Computer Science
Volume 9 No. 7, 2013, 889-897

DOI: https://doi.org/10.3844/jcssp.2013.889.897

Submitted On: 2 May 2012 Published On: 21 June 2013

How to Cite: Yahya, Z., Abdullah, M. T., Azman, A. & Kadir, R. A. (2013). Query Translation using Concepts Similarity Based on Quran Ontology for Cross-Language Information Retrieval. Journal of Computer Science, 9(7), 889-897. https://doi.org/10.3844/jcssp.2013.889.897

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Keywords

  • English Language
  • Malay Language
  • Bilingual Dictionary
  • Quran Concepts
  • Quran Ontology