An Approach for Design Search Engine Architecture for Document Summarization

Abstract

Query focused multi document summarization is an emerging area of research. A lot of work has already been done on the subject and a lot more is going on. The following document outlines the effort done by us in this particular field. This work proposes an approach to address automatic Multi Document text summarization in response to a query given by a user. For the explosion of information in the World Wide Web, this work proposed a new method of query-focused multi-documents summarization using genetic algorithm, search engine are used to extract relevant documents and genetic algorithm is used to extract the sentences to form a summary, and it is based on a fitness function formed by three factors: query-focused feature, importance feature, and non-redundancy feature. Experimental result shows that the proposed summarization method can improve the performance of summary, genetic algorithm is efficient. We have developed a very powerful search engine one. On the same note, it also has a great potential for growth. It can be easily applied for systems with not only a few documents but for very large systems with a large number of documents.