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.

中文翻译：

---

一种大规模语义标注的云计算能力模型

语义技术旨在促进对 Web 内容的上下文感知，使机器能够理解和处理它们。然而，这面临着一些挑战，例如现有解决方案的不同性质以及缺乏与 Web 规模成比例的可扩展性。从 Web 内容语义注释的整体角度来看，本文重点介绍了利用云计算来应对这些挑战。为了实现这一点，定义了一组对网络上整体语义注释的要求，并与云计算机制进行了映射以促进它们。针对每个云计算机制及其技术功能，对要求的技术规范进行严格审查和检查。因此，如果云计算机制' s 功能为实现需求的技术规范提供了解决方案。结果是一个用于整体语义注释的云计算能力模型，它提出了一种通过云平台在网络上提供大规模语义注释的方法。