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 a novel method for semantic indexing of medical articles by using the semantic resource MeSH (Medical Subject Headings) and the temporal information provided in the documents. 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. The results generated by these experiments demonstrate the effectiveness of our indexing approach.