Tarik Fissaa, M. Hamlaoui, Hatim Guermah, H. Hafiddi, M. Nassar
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引用次数: 0
摘要
Mark Weiser在90年代早期引入的计算视觉定义了现在所谓的普惠计算的基础。这一新的学科源于强大、小型和可负担的计算设备与将它们连接在一起的网络技术的融合。因此,无处不在的计算带来了基于上下文感知服务的新一代面向服务的体系结构(SOA)。这些体系结构通过根据用户的上下文组合多个服务,为用户提供个性化和适应性的行为。在这种情况下,本文的目标是提出一种基于上下文感知语义的服务组合方法。我们的贡献主要围绕以下几个方面:1)基于语义的上下文建模和上下文感知的语义组合服务规范;2)使用人工智能规划的基于上下文感知语义的服务组合体系结构;3)针对现代泛在环境的动态性和不确定性,提出了一种基于强化学习的情境感知选择智能机制。
Combining planning and learning for context aware service composition
: Computing vision introduced by Mark Weiser in the early ‘90s has defined the basis of what is called now ubiquitous computing. This new discipline results from the convergence of powerful, small and affordable computing devices with networking technologies that connect them all together. Thus, ubiquitous computing has brought a new generation of service-oriented architectures (SOA) based on context-aware services. These architectures provide users with personalised and adapted behaviours by composing multiple services according to their contexts. In this context, the objective of this paper is to propose an approach for context-aware semantic-based services composition. Our contributions are built around following axes: 1) a semantic-based context modelling and context-aware semantic composite service specification; 2) an architecture for context-aware semantic-based services composition using artificial intelligence planning; 3) an intelligent mechanism based on reinforcement learning for context-aware selection in order to deal with dynamicity and uncertain character of modern ubiquitous environment.