Ontology-based semantic annotation: an automatic hybrid rule-based method
Sondes Bannour, Laurent Audibert, Henry Soldano · 2013
In the perspective of annotating a text with respect to an ontology, we have participated in the subtask 1 of the BB BioNLP-ST whose aim is to detect, in the text, Bacteria Habitats and associate to them one or several categories from the Onto-Biotope ontology provided for the task. We have used a rule-based machine learning algorithm (WHISK) combined with a rule-based automatic ontology projection method and a rote learning technique. The combination of these three sources of rules leads to good results with a SER measure close to the winner and a best F-measure. 1