This paper presents an architecture for large-scale distributed AR services and an experimental evaluation of the main component – Semantic Augmented Reality Middleware. The architecture is based on a client-server design, which supports semantic modeling and building contextual AR presentations for a large number of users. The architecture is based on the Service Oriented Architecture (SOA) paradigm that enables building distributed systems that provide application functionality as services to either end-user applications or other services. The proposed architecture consists of two client-side components and multiple server-side distributed service applications – semantic middleware and AR service providers. The presented findings are promising and demonstrate that application of semantic web techniques can be a useful solution to implement large-scale contextual distributed AR environments.

本文提出了一种用于大型分布式AR服务的体系结构，并对主要组件-语义增强现实中间件进行了实验评估。该架构基于客户端-服务器设计，该服务器支持语义建模并为大量用户构建上下文AR表示。该体系结构基于面向服务的体系结构（SOA）范式，该范式允许构建分布式系统，这些系统将应用程序功能作为服务提供给最终用户应用程序或其他服务。提议的体系结构由两个客户端组件和多个服务器端分布式服务应用程序组成-语义中间件和AR服务提供商。提出的发现是有希望的，并表明语义Web技术的应用可以是实现大规模上下文分布式AR环境的有用解决方案。