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Question answering (QA) system aims at retrieving precise information from alarge collection of documents against a query. This paper describes thearchitecture of a Natural Language Question Answering (NLQA) system for aspecific domain based on the ontological information, a step towards semanticweb question answering. The proposed architecture defines four basic modulessuitable for enhancing current QA capabilities with the ability of processingcomplex questions. The first module was the question processing, which analysesand classifies the question and also reformulates the user query. The secondmodule allows the process of retrieving the relevant documents. The next moduleprocesses the retrieved documents, and the last module performs the extractionand generation of a response. Natural language processing techniques are usedfor processing the question and documents and also for answer extraction.Ontology and domain knowledge are used for reformulating queries andidentifying the relations. The aim of the system is to generate short andspecific answer to the question that is asked in the natural language in aspecific domain. We have achieved 94 % accuracy of natural language questionanswering in our implementation.

Architecture of an Ontology-Based Domain-Specific Natural Language Question Answering System