Development and statistical validation of an ontology-based question answering system. (2017)

• Record Type: Journal Article
• Authors: Kumar, G. Suresh; Zayaraz, G.
• Is Part Of: International journal of computer aided engineering and technology. Volume 9:Number 3(2017)
• Page Start: 324
• Page End: 336
• Publication Date: 2017
• Subjects: question answering systems -- knowledge reuse -- statistical validation -- query driven ontology construction -- knowledge-based systems -- KBS -- concept extraction -- knowledge extraction -- internet -- query strings -- natural language questions; Computer-aided engineering -- Periodicals; 620.00285
• Languages: English
• ISSNs: 1757-2657

Abstract

Question answering systems in general use external knowledge sources for extracting answers. Domain specific question answering systems require pre-constructed knowledge sources like domain ontology. A major challenge in knowledge-based question answering system development is building a huge knowledge base with the objective and correct factual knowledge in the preferred domain. The process of collecting useful knowledge from various sources and maintaining in a knowledge repository is a useful process for providing required answer on demand with greater accuracy and efficiency. In this paper an experimental framework has been proposed for concept-relational ontology-based question answering process. The question answering framework proposed in this paper includes two subsystems: 1) a dynamic concept relational ontology construction module, is capable to extract new concepts from the web and incorporate the extracted knowledge into the concept relational ontology knowledge base; 2) the answer extraction module formulates the query string from the natural language question according to the expected answer and retrieves the information from the ontology for answer formation. Furthermore, a novel statistical validation framework for evaluating the prototype implementation of the proposed question answering system is introduced.