The web of things (WoT) uses web technologies to connect embedded objects to each other and to deliver services to stakeholders. The context of these interactions (situation) is a key source of information which can be sometimes uncertain. In this paper, we focus on the development of intelligent web services. The main requirements for intelligent service are to deal with context diversity, semantic context representation and the capacity to reason with uncertain information. From this perspective, we propose a framework for intelligent services to deal with various contexts, to reactively respond to real-time situations and proactively predict future situations. For the

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The Web of Things (WoT), facilitates the interconnection of different types of real-world objects, integrating them into the virtual world and ensuring their interoperability through Web services. However, it remains a challenge to automate the tasks connected objects need to deal with. In this paper, we focus on the development of smart web services that automate service tasks, autonomously adapt to context changes in the object's environment, and to users' preferences. In this article, we propose a software framework for smart services that relies on a reactive and proactive approach to deal with context and its temporal aspects. Smart web services developed according to these principles can react to current situations and proactively anticipate an unforeseen situation in order to take the right decision.