An Ontology-Driven Visual Question-Answering Framework
Ghada Besbes, Hajer Baazaoui Zghal, Henda Ben Ghézala · 2015
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.