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PRIORITIZING ONLINE TEACHING RESOURCES BASED ON PAGE LENGTH, TIME SPAN AND CURSOR MOVEMENT ALGORITHM USING SEMANTIC WEB
Juhi Agarwal, KamalPreet Singh, Dr. Neelu Jyoti Ahuja

Published in: International Journal of Current Engineering And Scientific Research ( IJCESR)
Volume- 4, Issue-11, pp.31-39, Nov 2017
DPI :-> 16.10046.IJCESR.2017.V4I11.3139.2120



Abstract
In today’s era internet resources are growing with very fast rate. These resources are very helpful for students in academic courses; especially for computer science courses that need training and practical knowledge. Ontology provides solution to this problem. However, searching suitable resources in the World Wide Web is one of the most difficult and time consuming task. In order to make searching effective, efficient and less time consuming, semantic web technology is used. Ontology is our work is created using Neo4j tool. Ontology is explicit declaration and definition of the properties, interrelationships and types of the entities for a particular domain of discussion. Ontology has a machine-interpretable definition of basic concepts, which makes it very helpful for searching the efficient data. In this paper, efficient page ranking has been proposed for user to assemble e-learning data from the Word Wide Web based on page length, time span and cursor movement for collection of most relevant e-learning resources from the web. This algorithm tends to be very useful in fetching most valuable pages on the top of the result list.

Key-Words / Index Term
Ontology, Word wide web, Semantic Search

How to cite this article
Juhi Agarwal, KamalPreet Singh, Dr. Neelu Jyoti Ahuja , “PRIORITIZING ONLINE TEACHING RESOURCES BASED ON PAGE LENGTH, TIME SPAN AND CURSOR MOVEMENT ALGORITHM USING SEMANTIC WEB”, International Journal of Current Engineering And Scientific Research ( IJCESR), 4, Issue-11, pp.31-39, Nov 2017. DPI:16.10046.IJCESR.V4.I11.2120