Generation of Quizzes and Solutions Based on Ontologies -- A Case for a Music Problem Generator

Generation of problem sets and quizzes forms an important part of education technologies. Although some systems have been built for quiz generation, they mostly focus on abstract logic and mathematical constructs. Knowledge in other domains is relational rather than propositional, and many systems use dedicated knowledge databases. We present a method to present this knowledge in the form of objective question sets and drills. We implement a four-fold approach - ontologies, propositional logic, similarity finding, and hierarchies - as a way to generate quizzes as well as to solve human generated problems of a similar nature. The architecture of this system is such that any knowledgebase can be turned into a vast number of diverse, complex questions. We build this system for an ontology of North Indian Ragas, and also test it on a smaller ontology of animals. We demonstrate an approach to solving human generated questions from the Ontology, and provide a possible sample space of questions that can be generated through this method.