Research Article

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

by  Elsaeed E. Abdelrazek
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 173 - Issue 7
Published: Sep 2017
Authors: Elsaeed E. Abdelrazek
10.5120/ijca2017915370
PDF

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
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

References
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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

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

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