Towards an E-journalism Based on Semantic Web Technologies

Ahmed S. Ismail, Haytham Al- Feel, Heba Elbeh, Mohamed Elkawkagy
<span title="2021-02-28">2021</span> <i title="Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cj3bm7tgcffurfop7xzswxuks4" style="color: black;">VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE</a> </i> &nbsp;
The electronic journalism industry became one of the most important achievements of technology in the two decades. Through online media platforms, information and instant news delivered easily and cheaper than before. In addition to that, e-journalism reduces the time and space needed in traditional journalism industry, and hence improve the information lifecycle beginning from collecting reaching to delivering the news to users in convenient ways. On the other hand, Semantic Web technologies
more &raquo; ... rich the meaning of web content by converting the unstructured data to structured format. So, our proposed works aims to build robust e-journalism system based on Semantic Web technologies to improve the quality of service for journalists and readers.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.35940/ijitee.d8519.0210421">doi:10.35940/ijitee.d8519.0210421</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ymp2mmxi65cijhk2eftl5rbchq">fatcat:ymp2mmxi65cijhk2eftl5rbchq</a> </span>
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