为具有社会意识的应用程序建模、管理和推理社会背景

M. A. Kabir
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引用次数: 12

摘要

尽管普遍的社会计算有着巨大的前景,并且在上下文感知应用中开展了广泛的工作,但到目前为止,关注社会感知应用的工作非常有限。开发此类应用程序的关键要求是对用户的社会背景进行建模、管理和推理。为了满足这些要求,在这项博士研究中,我们尝试对社会背景进行建模、管理和推理,以帮助开发具有社会意识的应用程序。我们研究不同类型的社会语境,它们在各种社会意识应用中的使用,以及获取这种社会语境的可能来源。我们将研究现有的情境建模和推理技术,并将提出一种关于不同类型社会情境的建模和推理方法。为了帮助开发具有社会意识的应用程序,我们将提供一个中间件平台,用于管理社会上下文的获取、更改和提供。
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Modeling, managing and reasoning about social contexts for socially-aware applications
Despite the huge prospects of pervasive social computing and the extensive work in context-aware applications, so far very limited work has focused on socially-aware applications. The key requirements to develop such applications are modeling, managing and reasoning about users' social contexts. To fulfil these requirements, in this PhD research, we have made an attempt to model, manage and reason about social contexts to aid the development of socially-aware applications. We study different types of social contexts, their use in various socially-aware applications and possible sources to acquire such social contexts. We will investigate existing context modeling and reasoning techniques and will propose an approach to modeling and reasoning about different types of social contexts. To aid the development of socially aware applications, we will provide a middleware platform for managing the acquisition, changes and provision of social contexts.
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