Research Document Search using Elastic Search

R  Vidhya   and G  Vadivu

doi:10.17485/ijst/2016/v9i37/102108

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Research Document Search using Elastic Search

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i37/102108

Year: 2016, Volume: 9, Issue: 37, Pages: 1-4

Original Article

Research Document Search using Elastic Search

R. Vidhya^1* and G. Vadivu²

¹Department of Computer Science Engineering, SRM University, Kattankulathur - 603203, Tamil Nadu, India; [email protected]
² Department of Information Technology, SRM University, Kattankulathur - 603203, Tamil Nadu, India; [email protected]
*Author for correspondence
Vidhya
Department of Computer Science Engineering
Email:[email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

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.
Keywords: Django, Elastic Search, Haystack, Lucene, REST