Research Document Search using Elastic Search

Objectives: Implementation of Elastic search server to create a search engine that helps in searching, retrieving and downloading research papers stored in Django framework database and indexed by Elastic search. Analysis: Elastic Search, a search server based on Lucene can be used to search all types of documents with the help of its scalability and near-real time search. Findings: A web application which queries and searches for relevant research papers, allows users to customize their search and suggest list of research papers related to the initial query. It displays papers’ referenced authors. Item-based recommendations help users find more similar papers. Applications: Fast, Incisive Search against large volumes of data.