Towards an E-journalism Based on Semantic Web Technologies
Ahmed S. Ismail1, Haytham Al-Feel2, Heba Elbeh3, Mohamed Elkawkagy4
1Ahmed S. Ismail. Computer Science Department, Faculty of Computers and information, Fayoum University, Egypt.
2Haytham Al-Feel Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
3Heba Elbeh Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
4Mohamed Elkawkagy*, Computer Science Department, Community College, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Manuscript received on February 01, 2021. | Revised Manuscript received on February 08, 2021. | Manuscript published on February 28, 2021. | PP: 112-115 | Volume-10 Issue-4, February 2021 | Retrieval Number: 100.1/ijitee.D85190210421| DOI: 10.35940/ijitee.D8519.0210421
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 enrich 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.
Keywords: E-journalism, Semantic Web, RDFa, Linked Open Data, SPAR.