面向大规模语义标注的云计算能力模型
A Cloud Computing Capability Model for Large-Scale Semantic Annotation
摘要：
语义技术旨在促进Web内容的上下文感知，使机器能够理解和处理它们。然而，这一直面临着一些挑战，如现有解决方案的不同性质和缺乏与Web规模成比例的可扩展性。本文从整体的角度对Web内容语义标注进行了研究，重点探讨了如何利用云计算来应对这些挑战。为了实现这一点，一组对整体语义标注在Web上的定义和映射与云计算机制，以促进他们的要求。对各项要求的技术规格进行了严格审查，并对照每个云计算机制的技术功能进行了检查。因此，如果云计算机制的功能提供用于实现需求的技术规范的解决方案，则建立映射。其结果是一个整体语义标注的云计算能力模型，提出了一种通过云平台在Web上提供大规模语义标注的方法。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
