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A study of context inference for Web-based information systems

机译：基于Web的信息系统的上下文推断研究

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Recently, context-awareness has been a hot topic in the ubiquitous computing field. Numerous methods for capturing, representing and inferring context have been developed and relevant projects have been performed. Existing research has tried to determine user's contextual information physically by using stereo type cameras, RFID, smart devices, etc. These are heavily focusing on external context such as location, temperature, light, etc. However, cognitive elements of the context are important and need more study. This paper confines its research domain to the Web-based information system (IS) and, first, proposes two algorithms, the context inference algorithm and the service recommendation algorithm, for inferring cognitive context in the IS domain. Second, this paper demonstrates cognitive context-awareness on the Web-based information systems through implementing prototype deploying the proposed algorithms. The proposed system deploying the context inference and service recommendation algorithm can help the IS user to work with an IS conveniently and enable an existing IS to deliver ubiquitous service. In this fashion, we show the direction of existing IS and, ultimately, shows the typical services of a ubiquitous computing-based IS.
机译：近来，上下文意识已经成为无处不在的计算领域中的热门话题。已经开发了用于捕获，表示和推断上下文的多种方法，并且已经执行了相关项目。现有研究已经尝试通过使用立体相机，RFID，智能设备等物理地确定用户的上下文信息。这些研究主要集中在外部上下文（例如位置，温度，光线等）上。但是，上下文的认知要素非常重要，并且需要更多的学习。本文将其研究领域限制在基于Web的信息系统（IS）中，首先，提出了两种算法，即上下文推断算法和服务推荐算法，用于在IS领域中推断认知上下文。其次，本文通过实现部署所提出算法的原型，演示了基于Web的信息系统上的认知上下文感知。所提出的部署上下文推断和服务推荐算法的系统可以帮助IS用户方便地与IS一起工作，并使现有IS能够提供普遍存在的服务。以这种方式，我们展示了现有IS的发展方向，并最终展示了无处不在的基于计算的IS的典型服务。

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