• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 31, Pages: 2447-2457

Original Article

A SEMWORD based Semantic Secure Content Retrieval System in E-learning

Received Date:10 April 2023, Accepted Date:03 July 2023, Published Date:18 August 2023


Objectives: The semantic e-learning model aims to be the next generation of e-learning as it enables advanced representation, manipulation and re-use of learning materials and knowledge semantics in efficient online learning experiences. The modeling of semantic-based content retrieval for e-learning with secured content. This system will provide users with access to relevant educational resources in an easy-to-use, secure, and anonymous environment using semantic technologies. Methods: Semantic Web resource description format is proposed in this document by using a framework for automatically generating semantic words (SEMWORD) based on a user’s keyword. Findings: Using SEMWORD and user queries to generate RDF (Resource Description Framework) for the query processor, this work aims to find relevant semantic content. In order to find semantic content, the semantic word is mapped. In e-learning, the tuned semantic content is built into constraints, such as B. In order to ensure security, the Learner needs to log in and enter their credentials. Students are recommended semantic-based content with relevant information based on their interests based on the retrieved semantic content. Novelty and applications: This e-Learning system employs semantic web in a three-fold utilization. It includes describing the semantics of learning materials by using SEMWORD, defining their learning contexts, and structuring learning materials in courses using Semantic Web technology with the security aspect of novel encryption algorithm. Multidimensional use of Semantic Web in e-Learning is innovative and can potentially improve its effectiveness.

Keywords: Semantic Web; E-learning; SEMWORD; Security; Ontology; Content Retrieval System


  1. Fu Z, Wang Y, Sun X, Zhang X. Semantic and secure search over encrypted outsourcing cloud based on BERT. Frontiers of Computer Science. 2022;16(2):162802. Available from: https://doi.org/10.1007/s11704-021-0277-0
  2. Ma W, Zhou T, Qin J, Xiang X, Tan Y, Cai Z. A privacy-preserving content-based image retrieval method based on deep learning in cloud computing. Expert Systems with Applications. 2022;203:117508. Available from: https://doi.org/10.1016/j.eswa.2022.117508
  3. Zhu J, Wu J, Luo X, Liu J. Semantic matching based legal information retrieval system for COVID-19 pandemic. Artificial Intelligence and Law. 2023. Available from: https://doi.org/10.1007/s10506-023-09354-x
  4. Al-Chalabi HKM. Evaluation of a Multi-Parameter E-learning System using Web 3.0 Technologies. 2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). 2021;p. 1–4. Available from: https://doi.org/10.1109/ECAI52376.2021.9515191
  5. Paik I. Semantic Repository for Automatic Deep Learning Generation. 2022 IEEE 16th International Conference on Semantic Computing (ICSC). 2022;p. 167–170. Available from: https://doi.org/10.1109/ICSC52841.2022.00033
  6. Liu Q, Su H, El-Khamy M. Deep Guidance Decoder with Semantic Boundary Learning for Boundary-Aware Semantic Segmentation. 2022 IEEE International Conference on Consumer Electronics (ICCE). 2022;p. 1–2. Available from: https://doi.org/10.1109/ICCE53296.2022.9730360
  7. Junior CXP, Dorca FA, Araujo RD. Towards an Adaptive Approach that Combines Semantic Web Technologies and Metaheuristics to Create and Recommend Learning Objects. 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT). 2019;p. 395–397. Available from: https://doi.org/10.1109/ICALT.2019.00118
  8. Paneque M, Roldán-García MDM, García-Nieto J. e-LION: Data integration semantic model to enhance predictive analytics in e-Learning. Expert Systems with Applications. 2023;213:118892. Available from: https://doi.org/10.1016/j.eswa.2022.118892
  9. Ezaldeen H, Sukant K, Bisoy R, Misra R, Alatrash. Semantics aware intelligent framework for content-based e-learning recommendation. Natural Language Processing Journal. 2023;3. Available from: https://doi.org/10.1016/j.nlp.2023.100008
  10. Li X, Qin B. When E-learning Meets Web 3.0: Applications and Challenges. 2023 IEEE 12th International Conference on Educational and Information Technology (ICEIT). 2023;p. 332–336. Available from: https://doi.org/10.1109/ICEIT57125.2023.10107827


© 2023 Eunaicy & Vadivelu. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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