论文标题
大规模语义注释的云计算能力模型
A Cloud Computing Capability Model for Large-Scale Semantic Annotation
论文作者
论文摘要
语义技术旨在促进网络内容的上下文意识,使机器能够理解和处理它们。但是,这面临着几个挑战,例如现有解决方案的不同性质以及与网络量表成比例的可扩展性。通过对Web内容语义注释的整体视角,本文着重于利用云计算来解决这些挑战。为了实现这一目标,对网络上整体语义注释的一系列要求进行了定义和映射,并绘制云计算机制以促进它们。针对每个云计算机制,对要求的技术规范进行了严格的审查和检查。因此,如果云计算机制的功能提供了实现需求的技术规范的解决方案,则建立映射。结果是用于整体语义注释的云计算能力模型,该模型介绍了通过云平台在Web上提供大规模语义注释的方法。
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.