Enriching domain ontologies using question-answer datasets

Ontologies are knowledge representation structures that are used to model a domain in the form of concepts, entities and relations between them. Existing works on domain ontology enrichment in the literature mainly make use of the web corpus. Community generated Question-Answer data, inspite of being a rich source of information on various topics, has not been exploited much for the purpose of ontology enrichment. Such datasets especially provide good scope to extract new entities and relations and hence help to broaden the coverage of the domain ontology under consideration. In this paper, we propose a novel approach to extract triples from Question-Answer pairs for the purpose of ontology enrichment, particularly focussing upon T-Box enrichment. Some initial experiments have been conducted on two domain ontologies and the preliminary results obtained reveal the potential of the system to convert Question-Answer pairs to meaningful triples that can be added to the ontologies, thus enhancing the quality of the ontologies.