Ontology-based Query Expansion for Arabic Text Retrieval

Waseem Alromima,Ibrahim F,Mostafa Aref,Rania Elgohary

doi:10.14569/ijacsa.2016.070830

Abstract

The semantic resources are important parts in the Information Retrieval (IR) such as search engines, Question Answering (QA), etc., these resources should be available, readable and understandable. In semantic web, the ontology plays a central role for the information retrieval, which use to retrieves more relevant information from unstructured information. This paper presents a semantic-based retrieval system for the Arabic text, which expands the input query semantically using Arabic domain ontology. In the proposed approach, the search engine index is represented using Vector Space Model (VSM), and the Arabic's place nouns domain ontology has been used which constructed and implemented using Web Ontology Language (OWL) from Arabic corpus. The proposed approach has been experimented on the Arabic Quran corpus, and the experiments show that the approach outperforms in terms of both precision and recall the traditional keyword- based methods.

Highlights

In the information overloading era, the search engines are the most important applications
The ontology has been tested on the place nouns vocabulary and on new terms from the new semantic filed in the Quran
We present a semantic-based Arabic information retrieval system, which semantically expands the input query using domain ontology

Summary

INTRODUCTION

In the information overloading era, the search engines are the most important applications. Ontology applies major rule in the semantic web, which adds to the Web page to let the machine understanding the document. In this aspect, Tim Berners-Lee2006 introduced the semantic Web architecture, which contains eight layers, which is the Resource Description Framework (RDF) and Ontology has considered the most important layers [7]. There are many tools using for searching on holy Quran, most of these tools are using keyword-based search These tools face problems related to the meaning of the query terms. This paper presents a semantic-based system for Arabic information retrieval to improve Arabic retrieval results.

RELATED WORK

THE PROPOSED SYSTEM ARCHITECTURE

The Arabic Domain Ontology

EXPERIMENTAL RESULTS AND EVALUATION

CONCLUSION