File(s) under permanent embargo
Semantics based intelligent search in large digital repositories using Hadoop MapReduce
conference contribution
posted on 2023-05-23, 09:54 authored by Idris, M, Hussain, S, Ali, T, Byeong KangByeong Kang, Lee, SInformation contained in large digital repositories consisting of billions of documents represented in various formats make it difficult to retrieve the desired information. It is necessary to develop techniques that are accurate and fast enough to retrieve the desired information from hay stack of online digital repositories. On one hand, Keyword based systems and techniques have high recall and performance, however, they have low precision. On the other hand, semantics based systems have high precision and good recall, however, their performance decreases with data growth. Therefore, to improve precision and performance, we propose semantics based searching framework using Hadoop MapReduce to process the data at large scale. We apply semantic techniques to extract required information from digital documents and MapReduce programming model to apply these techniques. Application of semantic techniques using MapReduce distributed model will result in high precision and good performance of user query result.
History
Publication title
Lecture Notes in Computer Science 8867: Proceedings of the 8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014)Volume
8867Editors
R Hervas, S Lee, C Nugent, J BravoPagination
292-295ISSN
0302-9743Department/School
School of Information and Communication TechnologyPublisher
Springer International PublishingPlace of publication
New York, USAEvent title
8th International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2014)Event Venue
Belfast, UKDate of Event (Start Date)
2014-12-02Date of Event (End Date)
2014-12-05Rights statement
Copyright 2014 Springer International Publishing SwitzerlandRepository Status
- Restricted