2134/11740248.v1 Oluwasegun Adedugbe Oluwasegun Adedugbe Elhadj Benkhelifa Elhadj Benkhelifa Russell Campion Russell Campion Feras Al-Obeidat Feras Al-Obeidat Anoud Bani Hani Anoud Bani Hani Uchitha Jayawickrama Uchitha Jayawickrama Leveraging cloud computing for the semantic web: review and trends Loughborough University 2020 Cloud computing Semantic technologies Semantic web Semantic annotation Cloud driven Semantic cloud Artificial Intelligence and Image Processing 2020-11-29 00:33:06 Journal contribution https://repository.lboro.ac.uk/articles/journal_contribution/Leveraging_cloud_computing_for_the_semantic_web_review_and_trends/11740248 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.<br>