Knowledge management techniques towards answering engine
Singh, Vivek Kumar
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The growth of Internet era has brought magnitude of information at the disposal of end user being mobilized with the speed of electron. But this bless of information comes with a curse of ‘information overload’. Answer engine has come out as a well-accepted solution to this problem as it target to directly provide answer to the user’s question. At present, several hurdles exist in the path of a robust answer engine capable of handling various types of complex questions and they have been mostly known as inefficient in handling natural language text. This thesis presents a study, implementation and some contribution to various aspects of this question answering approach. Notably a novel approach of summarization has been tried that works on the principle of capturing relation between salient concepts present in text. The work also presents a Feature Drift model for tracking concept drift, which is a key ingredient in construction of user model required for personalization at various stages. Finally, a representative implementation of a factoid Answer Engine and a Search Engine built for the domain of DA-IICT has been described.
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