Generation of Understandable Answer to a Query Using Multimedia Web Information

1 Department of IT, SRM University, Chennai, India 2 Department of IT, SRM University, Chennai, India [email protected],[email protected] ___________________________________________________________________________________________________________________ Abstract: Automated question answering (QA) still faces challenges such as processing and deep understanding of complex questions. In most cases human intelligence obtain better results than automated approach. As a result community question answering (CQA) emerged as an extremely popular alternative to obtain information in which users are able to obtain better answers provided by other participants. But existing CQA forums mostly provide textual answers, which are not informative enough for many questions. In this paper we propose a model that enriches textual answers with corresponding media data in CQA. Our model consists of three components; query analysis for multimedia search, answer pattern selection and multimedia data selection and presentation. This model automatically determines which type of media information should be added for textual answer by collecting data from web to enrich the answer.