The Use of Arabic WordNet in Arabic Information Retrieval

Author:

Abbache Ahmed1,Barigou Fatiha1,Belkredim Fatma Zohra2,Belalem Ghalem1ORCID

Affiliation:

1. Department of Computer Science, University of Oran 1, Ahmed Ben Bella, Oran, Algeria

2. Department of Computer Science, University Hassiba Ben bouali of Chlef, Ouled Fares, Algeria

Abstract

Research and experimentation using Arabic WordNet in the field of information retrieval are relatively new. It is limited compared to the research that has been done using Princeton WordNet. This work attempts to study the impact of Arabic WordNet on the performance of Arabic information retrieval. We extend Lucene with Arabic WordNet to expand user's queries. The major contribution of this study is to propose an interactive query expansion (IQE) methodology using the word's part-of-speech, according to the part it plays in a query. First, the user selects the appropriate part of speech for each term in the original query, and then he reselects the appropriate synonyms. Experimental results show that our IQE strategy produces a good Mean Average Precision (MAP), it is able to improve MAP by 12.6%, but no variant of automatic query expansion (AQE) strategies did. Nevertheless, the experiments allow us to conclude that with an appropriate use of Arabic WordNet as a source of linguistic information for AQE can improve effectiveness for Arabic information retrieval.

Publisher

IGI Global

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Machine Comprehension of Arabic Text;Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management;2019

2. Word-embedding-based pseudo-relevance feedback for Arabic information retrieval;Journal of Information Science;2018-08-09

3. Query Expansion Using Medical Information Extraction for Improving Information Retrieval in French Medical Domain;International Journal of Intelligent Information Technologies;2018-07

4. Improving Arabic information retrieval using word embedding similarities;International Journal of Speech Technology;2018-01-19

5. Arabic Query Expansion Using WordNet and Association Rules;Information Retrieval and Management;2018

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