A semantic system for answering questions in neuroinformatics

Abstract

© 2018 ACM. Neuroinformatics is an important area of study in biomedical science and health informatics. Scientists in neuroscience tend to ask questions that are complicated, time consuming to answer and need multiple tasks in order to get to the result. In this paper, we introduce and report an ontology-based system for answering neuroscience questions automatically. The system uses a combination of ontologies such as NIFSTD and NeuroFMA, a template-based question translation method that translates questions to SparQL codes and MRI outputes (annotations) in order to classify and answer questions. It also uses an ontology-based query expansion module. The outcomes show the ontology-based qu..