Special section: Information Retrieval and Natural Language Processing

 

Cross Language Information Retrieval using Multilingual Ontology as Translation and Query Expansion Base

 

Mustafa Abusalah, John Tait, and Michael Oakes

 

School of Computing and Technology, University of Sunderland, Sunderland SR6 0DD, UK, (e–mail: mustafa.abusalah@sunderland.ac.uk, john.tait@sunderland.ac.uk, michael.oakes@sunderland.ac.uk).

 

Manuscript received October 14, 2008.
Manuscript accepted for publication August 3, 2009.

 

Abstract

This paper reports an experiment to evaluate a Cross Language Information Retrieval (CLIR) system that uses a multilingual ontology to improve query translation in the travel domain. The ontology–based approach significantly outperformed the Machine Readable Dictionary translation baseline using Mean Average Precision as a metric in a user–centered experiment.

Key words: Ontology, multilingual, cross language information retrieval.

 

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