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 |
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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