An approach based on langage modeling for improving biomedical information retrieval

Authors:
Jihen Majdoubi;Hatem Loukil;Mohamed Tmar;Faiez Gargouri
Affiliations:
Multimedia InfoRmation system and Advanced Computing Laboratory, Higher Institute of Information Technology and Multimedia, University of Sfax, Sfax, Tunisia;Multimedia InfoRmation system and Advanced Computing Laboratory, Higher Institute of Information Technology and Multimedia, University of Sfax, Sfax, Tunisia;Multimedia InfoRmation system and Advanced Computing Laboratory, Higher Institute of Information Technology and Multimedia, University of Sfax, Sfax, Tunisia;Multimedia InfoRmation system and Advanced Computing Laboratory, Higher Institute of Information Technology and Multimedia, University of Sfax, Sfax, Tunisia
Venue:
International Journal of Knowledge-based and Intelligent Engineering Systems
Year:
2012

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Abstract

In the medical field, scientific articles represent a very important source of knowledge for researchers of this domain. But due to the large volume of scientific articles published on the web, an efficient detection and use of this knowledge is quite a difficult task. In this paper, we propose our contribution for conceptual indexing of medical articles by using the MeSH Medical Subject Headings thesaurus. With this in mind, we propose a tool for indexing medical articles called BIOINSY BIOmedical Indexing SYstem which uses a language model for selecting the best representative concepts for each document. The proposed indexing approach was evaluated by intensive experiments. These experiments were conducted on document test collections of real world clinical extracted from scientific collections, namely CISMEF and CLEF 2007. The results generated by these experiments demonstrate the effectiveness of our indexing approach.