Information Searching Using Web Data Extraction for Acquiring Enrich MM Results

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Firoz I. Kadri, Kaushal A. Kapse, Nitin V. Landge, Hemant B. Shirsath, Prof. V. D. Badgujar

Abstract

There are many question answer sites are available now a day. In that Community Question Answering Sites are achieved lots of popularity over last years. But the drawback of available question answering system is that it can only provide multiple solutions of the textual answer and user need to select one of them. In this paper, we propose a scheme that enriches the textual answer with multimedia data. Our scheme consists of four models: QA pair extraction, answer medium selection, query generation and selection and presentation. The type media information added with the textual data is determined. The question answer pair is generated from the available Community Question Answering Sites database. Query is generated for the multimedia data. The final resulting data must be selected after re-ranking and removal operation and then present to the user.
DOI: 10.17762/ijritcc2321-8169.150142

Article Details

How to Cite
, F. I. K. K. A. K. N. V. L. H. B. S. P. V. D. B. (2015). Information Searching Using Web Data Extraction for Acquiring Enrich MM Results. International Journal on Recent and Innovation Trends in Computing and Communication, 3(1), 203–208. https://doi.org/10.17762/ijritcc.v3i1.3790
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Articles