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Digital Object Identifier (DOI) : 10.14569/SpecialIssue.2014.040108
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014, 2014.
Abstract: Knowledge representation (KR) is the most desirable area of research to make the system intelligent. Today is the era of knowledge that requires articulations, semantic, syntax etc. These requirements, forced to design a general system which is applicable to represent declarative as well as procedural knowledge. Without effective inference/reasoning mechanism, the strength and utility of knowledge representation technique fulfill the partial requirement for an intelligent system. The objective of this research work is to present the effective/ appropriate knowledge representation technique for representing the general knowledge and a reasoning algorithm for Question Answering system (QAS) work as story reader, so that appropriate knowledge can be infer from the system. The architecture of knowledge representation system is capable to integrate different type of knowledge and it is cost effective also.
Poonam Tanwar, Dr. T. V. Prasad and Dr. Kamlesh Datta, “An Effective Reasoning Algorithm for Question Answering System” International Journal of Advanced Computer Science and Applications(IJACSA), Special Issue on Natural Language Processing 2014, 2014. http://dx.doi.org/10.14569/SpecialIssue.2014.040108