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Enabling Trust in an E-Learning Ontology Through Provenance

Enabling Trust in an E-Learning Ontology Through Provenance

Rajiv Pandey, Nidhi Srivastava, Amit Kumar Bajpai
Copyright: © 2024 |Pages: 46
ISBN13: 9781668492857|ISBN10: 1668492857|ISBN13 Softcover: 9781668492895|EISBN13: 9781668492864
DOI: 10.4018/978-1-6684-9285-7.ch017
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MLA

Pandey, Rajiv, et al. "Enabling Trust in an E-Learning Ontology Through Provenance." Architecture and Technological Advancements of Education 4.0, edited by Rajiv Pandey, et al., IGI Global, 2024, pp. 380-425. https://doi.org/10.4018/978-1-6684-9285-7.ch017

APA

Pandey, R., Srivastava, N., & Bajpai, A. K. (2024). Enabling Trust in an E-Learning Ontology Through Provenance. In R. Pandey, N. Srivastava, & P. Chatterjee (Eds.), Architecture and Technological Advancements of Education 4.0 (pp. 380-425). IGI Global. https://doi.org/10.4018/978-1-6684-9285-7.ch017

Chicago

Pandey, Rajiv, Nidhi Srivastava, and Amit Kumar Bajpai. "Enabling Trust in an E-Learning Ontology Through Provenance." In Architecture and Technological Advancements of Education 4.0, edited by Rajiv Pandey, Nidhi Srivastava, and Parag Chatterjee, 380-425. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/978-1-6684-9285-7.ch017

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Abstract

E-learning is the acquisition and application of knowledge that is primarily provided and assisted through electronic means. Ontology is the pillar on which the semantic web stands. They provide a common framework for organizing and sharing knowledge, making it easier for machines to process and make inferences from data. The proliferation of online content has made it increasingly difficult to differentiate between true and false information. This underscores the importance of evaluating the credibility of documents within the semantic web. Provenance can help in this as it refers to a collection of records that shed light on the activities, participants, and entities involved in creating, updating, and utilizing web-based data. In this chapter, the authors have used PROV-DM model to add provenance to our academic ontology which will help in building trust. The system generates effective decision and trustworthiness results, supporting users in retrieving authentic and up-to-date information.

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