Bayesian information extraction network for Medline abstract

Biomedical is a huge domain that combines a variety of research areas. MEDELINE is one of the largest biomedical databases. Thereby, the searching of pertinent information through Medline has become a difficult task. That´s why; we need to develop information extraction systems in order to facilitate the treatment and the representation of data according to the user´s need. This paper applies Bayesian Networks to support information extraction based on ontological annotation from Medline. We present a tool developed that combines between semantic and probabilistic reasoning techniques.