<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Complex data systems are incapable of processing large data volumes, rendering the task of retrieving pertinent information unattainable. The advent of the Internet has amplified the significance of accessible and readily available information. Additionally, it receives support from the World Wide Web Consortium (W3C) and global organizations responsible for establishing web standards, such as Web Ontology, Inc. It expands the functionality of the website to facilitate the retrieval, integration, and transmission of information. In recent years, several major organizations have shown a strong inclination towards using semantic technologies for the purpose of collecting Big Data. Undoubtedly, there are other advantages of integrating this into the Creative. It enhances the ability of end-users to manage data from many repositories, focuses on changing the corporate environment and the user experience, and incorporates individual definitions and integrates several data sources. Furthermore, the market’s evolving expectations and contemporary organizational practices require an adaptable but all-encompassing information strategy. Integration of data warehousing may be achieved by the use of scattered corporate ontologies. This study explores the impact of the Semantic Web on enhancing the intelligence of Big Data. It analyses the obstacles and opportunities associated with the integration of Big Data with the Semantic Web.</p>
</abstract>

Complex data systems are incapable of processing large data volumes, rendering the task of retrieving pertinent information unattainable. The advent of the Internet has amplified the significance of accessible and readily available information. Additionally, it receives support from the World Wide Web Consortium (W3C) and global organizations responsible for establishing web standards, such as Web Ontology, Inc. It expands the functionality of the website to facilitate the retrieval, integration, and transmission of information. In recent years, several major organizations have shown a strong inclination towards using semantic technologies for the purpose of collecting Big Data. Undoubtedly, there are other advantages of integrating this into the Creative. It enhances the ability of end-users to manage data from many repositories, focuses on changing the corporate environment and the user experience, and incorporates individual definitions and integrates several data sources. Furthermore, the market’s evolving expectations and contemporary organizational practices require an adaptable but all-encompassing information strategy. Integration of data warehousing may be achieved by the use of scattered corporate ontologies. This study explores the impact of the Semantic Web on enhancing the intelligence of Big Data. It analyses the obstacles and opportunities associated with the integration of Big Data with the Semantic Web.

Orchestrating Distributed Computing and Web Technology with Semantic Web and Big Data

Engineering Department, Technical College of Engineering

Information Technology Department, Technical College of Administration

Journal of Smart Internet of Things

This work is licensed under the Creative Commons Attribution 4.0 International License.

Complex data systems are incapable of processing large data volumes, rendering the task of retrieving pertinent information unattainable. The advent of the...

Orchestrating Distributed Computing and Web Technology with Semantic Web and Big Data

Published Online: Dec 15, 2023

Page range: 174 - 192

Received: Sep 17, 2023

Accepted: Oct 16, 2023

DOI: https://doi.org/10.2478/jsiot-2023-0019

Keywords
Distributed Computing, Cloud Computing, Web Technology, Semantic Web, Big Data

© 2023 Sandy Victor Amanoul et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Orchestrating Distributed Computing and Web Technology with Semantic Web and Big Data

Published Online: Dec 15, 2023

Page range: 174 - 192

Received: Sep 17, 2023

Accepted: Oct 16, 2023

DOI: https://doi.org/10.2478/jsiot-2023-0019

KeywordsDistributed Computing, Cloud Computing, Web Technology, Semantic Web, Big Data

© 2023 Sandy Victor Amanoul et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Distributed Computing, Cloud Computing, Web Technology, Semantic Web, Big Data