An intelligent question answering system for ICT
Sameerchand Pudaruth, Kajal Boodhoo, Lushika Goolbudun · 2016
Demand for Question Answering systems is increasing day by day since they deliver short, precise and question specific answers. Huge amount of redundant data from irrelevant documents through the World Wide Web has given rise to an Information Technology (IT) Question Answering system to be used by secondary students. The main aim of developing such a system is to allow students obtain concise and relevant information about the IT subject in a short time period without having to search thousands of documents or websites. Hence, an interactive platform has been developed which allows the user to pose questions and the system responds by displaying the most relevant answer. Text mining techniques have been used to select documents across the web which contains answers to IT questions and use these documents to form a structured knowledge base. Algorithms have been derived to extract basic components from questions and methods to match and compare these with the knowledge base and to finally display the most relevant answer.