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Intelligent semantic question answering system

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4 Author(s)
Erfan Najmi ; Department of Computer Science Wayne State University Detroit, Michigan, USA ; Khayyam Hashmi ; Fayez Khazalah ; Zaki Malik

The volume of information available on the World Wide Web and the rate of its growth requires new techniques to handle and organize this data. Ontologies are becoming the pivotal methodology to represent domain-specific conceptual knowledge and hence help in providing solutions for Question Answering (QA) systems. This paper introduces an approach for enhancing the capabilities of QA systems using semantic technologies. We implemented an approach to convert the natural language user queries to Resource Description Framework (RDF) triples and find relevant answers. The experiment results show that the proposed technique works very well for single word answers. We believe that with some modifications this approach can be expanded to a wider scale.

Published in:

Cybernetics (CYBCONF), 2013 IEEE International Conference on

Date of Conference:

13-15 June 2013