Journals Proceedings

Abstract

World Wide Web is the largest source of information. Huge amount of data is present on the Web. There has been a great amount of work on query-independent summarization of documents. However, due to the success of Web search engines query-specific document summarization has become an important problem. In this paper, we introduced a method to create query specific summaries by identifying the most query-relevant fragments and combining them using the semantic associations. While doing so we have also used new association algorithm to generate accurate distance matrix and then density based clustering methods can be used to from a cluster of related data. Here before clustering we are also handling text ambiguity to generate effective summary. Furthermore performance of the summary using different clustering techniques will be analyzed and the optimal approach will be suggested.