SINAI at ImageCLEF 2009 medical task
Manuel Carlos Díaz–Galiano, María Teresa Martín Valdivia, Arturo Montejo‐Ráez, Miguel Ángel García Cumbreras · 2009
Recent researches demonstrate that the use and integration of several knowledge sources improves the quality and efficiency of information systems. In this paper, we present the system developed for the ImageCLEF 2010 medical task. We show the effect of using the medical ontology MeSH to expand terms found in textual queries. This year we have applied a strategy for deciding when include the information extracted from MeSH. The experiments carried out show that our machine learning approach to determine when to perform expansion did not resulted in any improvement over our base line, that where no expansion was performed at all.