Learning tool for medicine students based on biomedical named entity recognition and linked open data María Lorena Prieto, Enrique Puertas, Manuel de Buenaga Grupos de Sistemas Inteligentes, Universidad Europea de Madrid, Spain Abstract In this paper, we present a computer learning tool aimed at helping medical undergraduate students in the process of understanding biomedical concepts in clinical case histories. The system automatically detects concepts and biomedical entities in the text and presents them to the user linked to rich content extracted from Linked Open Data resources. A student can paste a clinical case text and automatically explore relevant information about biomedical topics such as medical conditions, symptoms, treatments, drugs and other biomedical literature. Keywords:Health Informatics, Linked Open Data, Named Entity Recognition, Learning Tool, Information Retrieval 1. Introduction Current trends in education are moving towards approaches focused on students centred on student needs rather than teachers or institutions. According to these new models, students have to actively participate in all the tasks of the learning process [1]. A transition from traditional learning contents into active learning activities is needed in order to help students to develop skills needed for frontingissues in real life as professionals. A student-centred approach is based on the idea that students learn through activities rather than being directly transmitted by the teacher. Web case-based activities can be very helpful in this regard [2][3][4], and can be an adequate starting point for designing active learning activities, enriching the student’s experience when learning[5]. Health-related courses can use this kind of activities, presenting a real clinical case for the study. It is well known the abundance of medical information