An Ontology-Driven Visual Question-Answering Framework

Question Answering systems aim at providing answers to natural language questions and provide a solution to the problem of response accuracy. This paper describes a visual QA framework based on ontolgoies, that relies on two main components: question analysis component and answer extraction component. Our goal consists on performing an efficient question answering by: (1) Improving the representation of the question´s structure using question ontology and typed attributed graphs, (2) Improving the results of question reformulation using domain ontologies and lexicosyntactic patterns (3) Extracting answers based on the question graph, lexico-syntactic patterns and score computation and (4)Offering a visual representation of the graphs and ontologies. Our framework has been implemented and evaluated.