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Risk estimation of developing breast cancer poses as the first preventionmethod for early diagnosis. Furthermore, data integration from differentdepartments involved in the process plays a key role. In order to guaranteepatient safety, the whole process should be orchestrated and monitoredautomatically. Support for the solution will be a linked data cloud, composedby all the departments that take part in the process, combined with ruleengines.

Fundamentals of Semantic Web Technologies in Medical Environments: a case in breast cancer risk estimation