A novel approach for research paper abstracts summarization using cluster based sentence extraction

This paper presents a part of research work to develop a method for automatic summarization of sets of research paper abstracts of desired subject in a specific area that may be retrieved by a digital library system or search engine in response to a user query. Many digital libraries or online services provide research papers published in journals, conferences or workshops for reference purpose to the user. Research papers contain a wealth of high quality information by specifying research objectives, research methods, evaluation of research objectives, research results and concluding remarks. However, a research paper abstract is relatively long and browsing too many of such research paper abstracts results in information overload. Therefore, it would be helpful to summarize a set of research paper abstracts to assist users in grasping the main ideas on a desired topic in a specific area.