Leveraging cloud computing for the semantic web: review and trends
ORCID Identifiers
Document Type
Article
Source of Publication
Soft Computing
Publication Date
4-1-2020
Abstract
© 2019, Springer-Verlag GmbH Germany, part of Springer Nature. Semantic and cloud computing technologies have become vital elements for developing and deploying solutions across diverse fields in computing. While they are independent of each other, they can be integrated in diverse ways for developing solutions and this has been significantly explored in recent times. With the migration of web-based data and applications to cloud platforms and the evolution of the web itself from a social, web 2.0 to a semantic, web 3.0 comes as the convergence of both technologies. While several concepts and implementations have been provided regarding interactions between the two technologies from existing research, without an explicit classification of the modes of interaction, it can be quite challenging to articulate the interaction modes; hence, building upon them can be a very daunting task. Hence, this research identifies and describes the modes of interaction between them. Furthermore, a “cloud-driven” interaction mode which focuses on fully maximising cloud computing characteristics and benefits for driving the semantic web is described, providing an approach for evolving the semantic web and delivering automated semantic annotation on a large scale to web applications.
DOI Link
ISSN
Publisher
Springer
Volume
24
Issue
8
First Page
5999
Last Page
6014
Disciplines
Computer Sciences
Keywords
Cloud computing, Cloud driven, Semantic annotation, Semantic cloud, Semantic technologies, Semantic web
Scopus ID
Recommended Citation
Adedugbe, Oluwasegun; Benkhelifa, Elhadj; Campion, Russell; Al-Obeidat, Feras; Bani Hani, Anoud; and Jayawickrama, Uchitha, "Leveraging cloud computing for the semantic web: review and trends" (2020). All Works. 2250.
https://zuscholars.zu.ac.ae/works/2250
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository