Title

A Cloud Computing Capability Model for Large-Scale Semantic Annotation

Document Type

Conference Proceeding

Publication Date

12-17-2020

Abstract

Semantic technologies are designed to facilitate context-awareness for web content, enabling machines to understand and process them. However, this has been faced with several challenges, such as disparate nature of existing solutions and lack of scalability in proportion to web scale. With a holistic perspective to web content semantic annotation, this paper focuses on leveraging cloud computing for these challenges. To achieve this, a set of requirements towards holistic semantic annotation on the web is defined and mapped with cloud computing mechanisms to facilitate them. Technical specification for the requirements is critically reviewed and examined against each of the cloud computing mechanisms, in relation to their technical functionalities. Hence, a mapping is established if the cloud computing mechanism’s functionalities proffer a solution for implementation of a requirement’s technical specification. The result is a cloud computing capability model for holistic semantic annotation which presents an approach towards delivering large-scale semantic annotation on the web via a cloud platform.

ISSN

2161-1351

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Volume

00

Disciplines

Computer Sciences

Keywords

Cloud computing, Annotations, Computational modeling, Scalability, Semantic technology

Scopus ID

85112582380

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Green: A manuscript of this publication is openly available in a repository

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