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Proposed Architecture Diagrams for Analyzing Semantic Web Search Engine for E-Learning Environments

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Authors:
Elsaeed E. AbdElrazek
10.5120/ijca2017915370

Elsaeed E AbdElrazek. Proposed Architecture Diagrams for Analyzing Semantic Web Search Engine for E-Learning Environments. International Journal of Computer Applications 173(7):38-45, September 2017. BibTeX

@article{10.5120/ijca2017915370,
	author = {Elsaeed E. AbdElrazek},
	title = {Proposed Architecture Diagrams for Analyzing Semantic Web Search Engine for E-Learning Environments},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2017},
	volume = {173},
	number = {7},
	month = {Sep},
	year = {2017},
	issn = {0975-8887},
	pages = {38-45},
	numpages = {8},
	url = {http://www.ijcaonline.org/archives/volume173/number7/28351-2017915370},
	doi = {10.5120/ijca2017915370},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Learners need search and retrieval systems to help them find and analyze E-Learning documents on the web. These systems can be used to support the E-Learning being developed by Developers of e-learning whose knowledge comes from the semantic web.

We have described a proposed crawler-based indexing and retrieval system for the semantic web, i.e., E-Learning documents written in RDF or OWL. The proposed system is analyzed semantic web documents and E-Learning documents. The proposed system has been shown how to adapt E-Learning documents to Semantic Web data

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Keywords

E-Learning- retrieval system- Semantic Web- Search Engine