普适计算环境中的情境建模
Modeling context and situations in pervasive computing environments
摘要：
在普适计算环境中，各种实体经常必须在\emph{situation}中无缝地协作和集成，因此，\emph{situation}可以被认为是多个实体的上下文的合并，这些实体彼此交互和协调，并且经常执行一个或多个活动。然而，没有现有的上下文模型和本体论地址的情况下建模。在本文中，我们描述了一个通用的，灵活的和可扩展的上下文本体称为罗孚上下文模型本体（RoCoMO）的设计，结构和实现的上下文和情景建模在普适计算系统和环境。我们强调现有的上下文模型和本体的几个限制，如缺乏提供出处，可追溯性，上下文的质量，上下文信息的多重表示，以及支持安全性，隐私性和互操作性，并解释我们如何解决这些限制在我们的方法。我们还说明了RoCoMO的实用性和实用性，使用一个实际的和广泛的案例研究。
英文摘要：
In pervasive computing environments, various entities often have to cooperate and integrate seamlessly in a \emph{situation} which can, thus, be considered as an amalgamation of the context of several entities interacting and coordinating with each other, and often performing one or more activities. However, none of the existing context models and ontologies address situation modeling. In this paper, we describe the design, structure and implementation of a generic, flexible and extensible context ontology called Rover Context Model Ontology (RoCoMO) for context and situation modeling in pervasive computing systems and environments. We highlight several limitations of the existing context models and ontologies, such as lack of provision for provenance, traceability, quality of context, multiple representation of contextual information, as well as support for security, privacy and interoperability, and explain how we are addressing these limitations in our approach. We also illustrate the applicability and utility of RoCoMO using a practical and extensive case study.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
