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possible to go through the entire curriculum or to imagine how the individual courses, learning units, outcomes and branches of medicine are interrelated. This paper introduces an innovative analytical approach which helps to identify automatically the most frequent topics based on keyword extraction. Moreover, the
information and communication technologies. We introduce an algorithm for curriculum metadata automatic processing — automatic keyword extraction based on unsupervised approaches, and we demonstrate a real application during a process of innovation and optimization of medical education. The outputs of our pilot analysis
The existing search engines retrieve information only based on the keywords. The incapability to search on the basis of the relation between the keywords and the user concepts, generates noise and hence, results in irrelevant retrieval. This leads to the idea of performing Semantic information processing by mapping
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.