期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2012
卷号：3
期号：3
页码：61
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In the medical field, scientific articles represent a very important source of knowledge for researchers ofthis domain. But due to the large volume of scientific articles published on the web, an efficient detectionand 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 articlescalled BIOINSY (BIOmedical Indexing SYstem) which uses a language model for selecting the bestrepresentative descriptors for each document.The proposed indexing approach was evaluated by intensive experiments. These experiments wereconducted on document test collections of real world clinical extracted from scientific collections, namelyPUBMED and CLEF. The results generated by these experiments demonstrate the effectiveness of ourindexing approach.
关键词：Medical article; conceptual indexing; Language models; MeSH thesaurus; Biomedical Information;Retrieval
