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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 173 - Issue 7 |
| Published: Sep 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 (Sep 2017), 38-45. DOI=10.5120/ijca2017915370
@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 },
year = { 2017 },
volume = { 173 },
number = { 7 },
pages = { 38-45 },
doi = { 10.5120/ijca2017915370 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Elsaeed E. Abdelrazek
%T Proposed Architecture Diagrams for Analyzing Semantic Web Search Engine for E-Learning Environments%T
%J International Journal of Computer Applications
%V 173
%N 7
%P 38-45
%R 10.5120/ijca2017915370
%I Foundation of Computer Science (FCS), NY, USA
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