Query expansion using medical information extraction for improving information retrieval in French medical domain

Journal article

Ghoulam, A, Barigou, F, Belalem, G and Meziane, F. 2018. Query expansion using medical information extraction for improving information retrieval in French medical domain. International Journal of Intelligent Information Technologies. Vol 14 (Issue 3), pp. 1 - 17. https://doi.org/10.4018/ijiit.2018070101
AuthorsGhoulam, A, Barigou, F, Belalem, G and Meziane, F.
Abstract

Many users’ queries contain references to named entities, and this is particularly true in the medical field. Doctors express their information needs using medical entities as they are elements rich with information that helps to better target the relevant documents. At the same time, many resources have been recognized as a large container of medical entities and relationships between them such as clinical reports; which are medical texts written by doctors. In this paper, we present a query expansion method that uses medical entities and their semantic relations in the query context based on an external resource in OWL. The goal of this method is to evaluate the effectiveness of an information retrieval system to support doctors in accessing easily relevant information. Experiments on a collection of real clinical reports show that our approach reveals interesting improvements in precision, recall and MAP in medical information retrieval.

KeywordsInformation Retrieval; ; Medical Entities Recognition; ; OWL External Resource; ; Query Expansion; ; Semantic Relations Extraction
Year2018
JournalInternational Journal of Intelligent Information Technologies
Journal citationVol 14 (Issue 3), pp. 1 - 17
PublisherIGI Global
ISSN15483657
1548-3665
Digital Object Identifier (DOI)https://doi.org/10.4018/ijiit.2018070101
Web address (URL)http://dx.doi.org/10.4018/IJIIT.2018070101
Output statusPublished
Publication datesJul 2018
Publication process dates
Deposited05 Jun 2023
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