A new framework semantic web technology based e-learning

Shrivastava, Gulshan; Sharma, Kavita; Bawankan, Aparna

doi:10.1109/eeeic.2012.6221527

Cited by 10 publications

(5 citation statements)

References 5 publications

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“…This architecture does not provide a client interface and provides connection only through network service interface. A New framework Semantic Web Technologies based E-learning [10].…”

Section: Related Workmentioning

confidence: 99%

A Generic Agent Based Cloud Computing Architecture for E-Learning

Babu¹,

Kulkarni²,

Sekaran

2014

ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I

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“…This architecture does not provide a client interface and provides connection only through network service interface. A New framework Semantic Web Technologies based E-learning [10].…”

Section: Related Workmentioning

confidence: 99%

A Generic Agent Based Cloud Computing Architecture for E-Learning

Babu¹,

Kulkarni²,

Sekaran

2014

ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I

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“…Lastly, advanced digital forensics models should consider new trends in web technologies, such as mobile ad hoc networks and mobile phone applications (Shrivastava, 2018). One major development has been the adoption of semantic web practices (Shrivastava, Sharma, & Bawankan, 2012) for back-end communication (Praveen Kumar & Suguna, 2020) and front-end content generation (Shrivastava, Sharma, & Bawankan, 2012) as the range of e-commerce products and consumers becomes increasingly diverse. With the proliferation of semantic web practices in e-commerce, scholars have raised the need to enhance cyber security with semantic web services (Singh & Nayak, 2019).…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

Designing and Evaluating an Automatic Forensic Model for Fast Response of Cross-Border E-Commerce Security Incidents

Chen

Cai

Wen

2021

Journal of Global Information Management

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The rapid development of cross-border e-commerce over the past decade has accelerated the integration of the global economy. At the same time, cross-border e-commerce has increased the prevalence of cybercrime, and the future success of e-commerce depends on enhanced online privacy and security. However, investigating security incidents is time- and cost-intensive as identifying telltale anomalies and the source of attacks requires the use of multiple forensic tools and technologies and security domain knowledge. Prompt responses to cyber-attacks are important to reduce damage and loss and to improve the security of cross-border e-commerce. This article proposes a digital forensic model for first incident responders to identify suspicious system behaviors. A prototype system is developed and evaluated by incident response handlers. The model and system are proven to help reduce time and effort in investigating cyberattacks. The proposed model is expected to enhance security incident handling efficiency for cross-border e-commerce.

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“…E-learning systems using semantic web will help the earner and lecturer to find the information and learning object easily and relatively for their queries and interest [9]. Drucker [10] has defined e-Learning as "just-in-time education integrated with high velocity value chains.…”

Section: Literature Reviews 31 E-learningmentioning

confidence: 99%

Information Retrieval Improvement in E-Learning Systems Using Semantic Web

Hassan

Hussein²

2020

Journal of Al-Azhar University Engineering Sector

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E-Learning and Web-based education and has become a very important branch of new educational technology. In this paper we present information retrieval improvement in e-learning system using semantic web. This paper focuses on design and implementation of adaptive recommendation e-learning system at the sea ports and use e-learning system and semantic web to deliver the learning objects to learners in an interactive, flexible and adaptive manner. The purpose of this paper is to help trainer in port community to find not just Learning object but also the type of Learning object that they should appreciate from a lot of content and types based on their priority and needs ,Our solution consists of a Recommendation System that provides recommendations to the E-learner and advise a learner with most suitable resources and learning objects based on semantic web technology using a hybrid technique of collaborative filtering and content-based filtering using Semantic web, We are also faced with the need to adapt the learning process to the progress of the e-learner, his preferences, as well as existing competencies, to ensure that the system is both effective and efficient, especially considering the multitude of learning objects in existence, we find that adaptive recommendation E-learning systems using semantic web will help the e-learner to find the information and learning object easily and relatively for their queries and interest.

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A new framework semantic web technology based e-learning

Cited by 10 publications

References 5 publications

A Generic Agent Based Cloud Computing Architecture for E-Learning

A Generic Agent Based Cloud Computing Architecture for E-Learning

Designing and Evaluating an Automatic Forensic Model for Fast Response of Cross-Border E-Commerce Security Incidents

Information Retrieval Improvement in E-Learning Systems Using Semantic Web

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