Semantic Web based Service Composition for E-learning

Swati Rai; Dr. Ashish Chaurasiya; Shubham Bind1

1

Publication Date: 2021/03/21

Abstract: The amalgamation of web and Artificial Intelligence has produced miraculous results from the semantic web terms to be the most significant ELearning application. This is because, E-learning performed efficiently only at the time of E-Content are customized, need based, real-time, on-demand, and searchable using keywords. The methodology created in the rule derived and customized preparation of e-content from the prevailing contents available on a specific topic, are based on certain keywords. This can be a holistic move to develop a concise digital collection of various topic/s. This kind of responsible work is to demonstrate the new approach by which an E-book Ontological search with the SQWRL and SWRL Rules are generated to obtain chapters and its requisite paragraphs (having keywords together with relevant factors) and thereafter, from the ontology developed, upon combining various paragraphs out of different eBooks, the desired contents can be made available.

Keywords: SWRL, SQWRL, DL, pellet as a reasoner, and JESS as a rule solver for both the rule languages SWRL and the SQWRL, RDF, RDF Schema

DOI: No DOI Available

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT21MAR387.pdf

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