IRIT at ImageCLEF 2010: Medical Retrieval Track

We reported some experiments conducted by our members in the SIG team at the IRIT laboratory in the CLEF medical retrieval task, namely ImageCLEFmed. In 2010, we are particularly interested in the case-based retrieval task. Our information retrieval approach integrates a hybrid method of concept extraction for enhancing the semantics of the document as well as of the query. More precisely, we applied a knowledge-based concept extraction method combined with statistical information obtained by scoring identified terms denoting concepts both in the document and query. The experiments carried out on the ImageCLEF 2010 show that our information retrieval approach based on the proposed method of concept extraction show an improvement of 7.07% in terms of MAP (for the best configuration trained on ImageCLEF 2010) over the baseline. Key words: Concept extraction, Document Expansion, Query expansion, Biomedical Information Retrieval

• Type: Conference
• Year: 2010
• Where: CLEF
• Authors: Duy Dinh, Lynda Tamine
• Keywords: CLEF 2010, Concept Extraction, Information Retrieval Approach, Information Technology, Retrieval Task