Awareness in P2P Groupware Systems: A Convergence of Contextual Computing, Social Media and Semantic Web

F. Xhafa, A. Poulovassilis
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引用次数: 2

Abstract

P2P systems are currently considered as an important and effective alternative to web-based centric approaches of groupware systems. Decentralisation, direct and interactive communication, personalization and context are among the features of P2P systems that could be beneficial to groupware systems. In particular, such features can support monitoring, awareness, social networking and scaffolding in group collaboration. In this work we present an analysis of advantages in using P2P networks to better support group collaborative processes. In our analysis, P2P groupware systems are conceived as a convergence of several views: contextual computing, social media and semantic web. The contextual computing is an important ingredient to capture the context of the collaboration in a multi-dimension way, including workspace context, documents and information context, time and location contexts, etc. The social media is also considered important for an effective collaboration of peer group, to support members with efficient and scalable communication techniques in social interaction among members. The semantic web concepts and use of languages such as RDF/S enable the representation and reasoning with the diverse range of information required by the P2P middleware and the awareness services. We focus in particular how to achieve event-based awareness in P2P groupware systems that includes different forms of awareness. The user and technical requirements are first derived with reference to Project-Based Learning in P2P learning environments, which is the learning setting that we consider in our work. We then present our computational model for supporting group awareness in such environments and discuss how it meets the identified user and technical requirements.
P2P群件系统中的感知:上下文计算、社交媒体和语义网的融合
P2P系统目前被认为是群件系统中以网络为中心的一种重要而有效的替代方法。去中心化、直接和互动的通信、个性化和上下文是P2P系统的特点,可能对群件系统有益。特别地,这些特性可以在组协作中支持监视、感知、社交网络和脚手架。在这项工作中,我们分析了使用P2P网络更好地支持团队协作过程的优势。在我们的分析中,P2P群件系统被认为是几个观点的融合:上下文计算、社交媒体和语义网。上下文计算是以多维方式捕获协作上下文的重要组成部分,包括工作空间上下文、文档和信息上下文、时间和位置上下文等。社交媒体对于同伴群体的有效协作也很重要,它支持成员在社交互动中使用高效和可扩展的沟通技术。语义web概念和诸如RDF/S之类的语言的使用使得对P2P中间件和感知服务所需的各种信息的表示和推理成为可能。我们特别关注如何在包含不同形式的感知的P2P群件系统中实现基于事件的感知。首先根据P2P学习环境中的基于项目的学习推导出用户和技术需求,这是我们在工作中考虑的学习环境。然后,我们提出了在这种环境中支持群体意识的计算模型,并讨论了它如何满足已确定的用户和技术需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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