Ontology-based context synchronization for ad hoc social collaborations

Ontology-based context synchronization for ad hoc social collaborations
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用于临时社交协作的基于本体的上下文同步

DOI:
10.1016/j.knosys.2008.03.015
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发表时间:
2008
期刊:
Knowl. Based Syst.
影响因子:
--
通讯作者:
Jason J. Jung
Jason J. Jung
中科院分区:
--
文献类型:
--
作者:
Jason J. Jung

文献摘要

被引文献

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为了有效地支持人(代理)之间的实时协作,我们提出了一个基于本体的平台,用于根据背景来认识最相关的用户(例如同事和同学)。因此,我们使用从本体导出的语义信息对两种上下文进行建模; (i) 个人背景,以及 (ii) 双方同意的背景,由多个个人背景综合而成。更重要的是,我们制定衡量标准来比较它们。因此,可以根据个人背景的几个方面之间的相似性来动态地组织群体。特别是,用户可以参与与多种语义相关的复杂协作。为了进行实验,我们实现了一个基于上下文同步的社交浏览系统。
To efficiently support collaborations between people (agents) in real-time, we propose an ontology-based platform for acquainting the most relevant users (e.g., colleagues and classmates), according to their context. Thereby, we modeled two kinds of contexts with semantic information derived from ontologies; (i) personal context, and (ii) consensual context, integrated from several personal contexts. More importantly, we formulate measurement criteria to compare them. Consequently, groups can be dynamically organized with respect to the similarities among several aspects of personal context. In particular, users can engage in complex collaborations related to multiple semantics. For experimentation, we implemented a social browsing system based on context synchronization.