University of Wollongong
Browse

Query expansion based-on similarity of terms for improving Arabic information retrieval

Download (589.16 kB)
conference contribution
posted on 2024-11-14, 08:39 authored by Khaled Shaalan, Sinan Al-Sheikh, Farhad Oroumchian
This research suggests a method for query expansion on Arabic Information Retrieval using Expectation Maximization (EM). We employ the EM algorithm in the process of selecting relevant terms for expanding the query and weeding out the non-related terms. We tested our algorithm on INFILE test collection of CLLEF2009, and the experiments show that query expansion that considers similarity of terms both improves precision and retrieves more relevant documents. The main finding of this research is that we can increase the recall while keeping the precision at the same level by this method.

History

Citation

Shaalan, K., Al-Sheikh, S. & Oroumchian, F. 2012, 'Query expansion based-on similarity of terms for improving Arabic information retrieval', in Z. Shi, D. Leake & S. Vadera (eds), Intelligent Information Processing VI: Proceedings of 7th IFIP TC12 International Conference, Springer, Heidelberg, pp. 167-176.

Parent title

IFIP Advances in Information and Communication Technology

Volume

385 AICT

Pagination

167-176

Language

English

RIS ID

72513

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC