BODH: A model for information retrieval from research articles

This paper pertain of design a model retrieval of information from an intelligent model (Bodh model) which helps researchers to save time at the time of analyzing the research issues. The major problem that researchers face today is how to keep a current research output. In this paper we implement an approach for extracting information and propose a cognitive research topic generating method named as “Smart Technique” for Automated Research Topic (START). This technique is based on the use of data mining techniques and Hadoop. It is believed that to solve the issues of the startup research student this technique gives the better results. The model will provide the information about present work, previous work, and the future scope. Bodh Model will give us a new origin to start research, helpful for literature review and sharing knowledge. Using Bodh model we can generate random topics, quick literature review and provide research work summary in a specific format which remove the redundancy of research work. Our proposed approach will be applied on different research papers on a specific domain and applied for getting summarized content for further improvement and make the new content for further research.