Recent W3C recommendations for the Web of Things (WoT) and the Social Web are turning hypermedia into a homogeneous information fabric that interconnects heterogeneous resources: devices, people, information resources, abstract concepts, etc. The integration of multi-agent systems with such hypermedia environments now provides a means to distribute autonomous behavior in worldwide pervasive systems. A central problem then is to enable autonomous agents to discover heterogeneous resources in worldwide and dynamic hypermedia environments. This is a problem in particular in WoT environments that rely on open standards and evolve rapidly—thus requiring agents to adapt their behavior at run time in pursuit of their design objectives. To this end, we developed a hypermedia search engine for the WoT that allows autonomous agents to perform approximate search queries in order to retrieve relevant resources in their environment in (weak) real time. The search engine crawls dynamic WoT environments to discover and index device metadata described with the W3C WoT Thing Description, and exposes a SPARQL endpoint that agents can use for approximate search. To demonstrate the feasibility of our approach, we implemented a prototype application for the maintenance of industrial robots in worldwide manufacturing systems. The prototype demonstrates that our semantic hypermedia search engine enhances the flexibility and agility of autonomous agents in a social and ubiquitous Web.

W3C对物联网（WoT）和社交网络的最新建议正在将超媒体转变为一种均质的信息结构，该结构将各种资源（设备，人员，信息资源，抽象概念等）互连在一起。将多代理系统与这种超媒体集成现在，环境提供了一种在全球普及的系统中分发自主行为的方法。那么面临的主要问题是使自主代理发现异构资源在全球范围内和动态超媒体环境。尤其是在依赖开放标准且发展迅速的WoT环境中，这是一个问题，因此要求代理在运行时适应其行为以追求其设计目标。为此，我们为WoT开发了一个超媒体搜索引擎，该引擎允许自治代理执行近似搜索查询，以便（弱）实时检索其环境中的相关资源。。搜索引擎搜寻动态的WoT环境以发现和索引使用W3C WoT事物描述描述的设备元数据，并公开一个SPARQL端点，代理可以将其用于近似搜索。为了证明我们方法的可行性，我们实施了一个原型应用程序，用于维护全球制造系统中的工业机器人。该原型表明，我们的语义超媒体搜索引擎增强了社交和无处不在的Web中自治代理的灵活性和敏捷性。