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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Enrichment Ontology with Updated user Data for Accurate Semantic Annotation

Author 1: Haytham Al-Feel
Author 2: Hanaa Ghareib Hendi
Author 3: Heba Elbeh

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0101223

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 12, 2019.

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Abstract: Annotation is considered one of the main applications that semantic web applies. The idea beyond annotation focused on adding metadata to existing information which facilitates machines dealing with data that have meanings and can be readable. Semantic annotation is one of the techniques used for the enrichment of web content semantically, which facilitates writing comments and evaluate previously annotated resources that can lead to better search results. Our framework aims to enrich ontology via embedding data directly to ontology in order to have completed and accurate data.

Keywords: Ontology; Semantic Web; Semantic Annotation; RSS News

Haytham Al-Feel, Hanaa Ghareib Hendi and Heba Elbeh, “Enrichment Ontology with Updated user Data for Accurate Semantic Annotation” International Journal of Advanced Computer Science and Applications(IJACSA), 10(12), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101223

@article{Al-Feel2019,
title = {Enrichment Ontology with Updated user Data for Accurate Semantic Annotation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101223},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101223},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {12},
author = {Haytham Al-Feel and Hanaa Ghareib Hendi and Heba Elbeh}
}


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