Bayesian information extraction network for Medline abstract
Monia Mannai, Wahiba Ben Abdessalem Karâa · 2013
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.