【外文翻译】城市移动应用的环境模型.rar
【外文翻译】城市移动应用的环境模型,城市移动应用的环境模型摘要城市设置指的是主机的多样化的网络技术，从3g和有线宽带、无线网络、wimax、蓝牙到最近的传感器网络。这些并存的网络能提供丰富的移动应用程序的情境感知输入。迄今为止,绝大多数的情境感知的移动应用专业,如医疗保健和旅游,缺乏通用性和适应性。这就是为什么需要一个能满足未来大型网络应用的环境模型。本...
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城市移动应用的环境模型
摘要
城市设置指的是主机的多样化的网络技术，从3G和有线宽带、无线网络、WiMAX、蓝牙到最近的传感器网络。这些并存的网络能提供丰富的移动应用程序的情境感知输入。迄今为止,绝大多数的情境感知的移动应用专业,如医疗保健和旅游,缺乏通用性和适应性。这就是为什么需要一个能满足未来大型网络应用的环境模型。本论文为解决这个问题，提出了一个通常足够用于实现城市设置的环境模型，所要解决的问题是为贯穿整个网络的广泛的、多样化的移动应用提供环境感知服务。本文提出了一种对现有模型的分析,介绍了作者认同的O + L模型(本体加逻辑)，以及能支持模型及其定性评估的原始服务架构。
Context Modeling for Urban Mobile Applications
Abstract
Urban settings are host of diverse networking
technologies, from 3G and wired broadband to Wi-Fi,
WiMAX, Bluetooth and, more recently, sensor networks.
Potentially, these co-existing networks can provide rich
inputs to mobile applications that are context aware. To
date, the vast majority of context-aware mobile
applications are specialized, e.g. healthcare and
tourism, and they lack generality and adaptability. It is
therefore essential to use a context model that will match
the requirements of a large range of future urban
networks applications. The question addressed by this
paper is to propose an appropriate context model that is
general enough to be effective for urban settings, the
challenge being to provide the context-aware service to
a wide variety of mobile applications across all
networks. This paper presents an analysis of existing
models, introduces the O+L model (ontologies plus
logic) adopted by the authors, the original service
architecture that supports the model and its qualitative
eva luation.
摘要
城市设置指的是主机的多样化的网络技术，从3G和有线宽带、无线网络、WiMAX、蓝牙到最近的传感器网络。这些并存的网络能提供丰富的移动应用程序的情境感知输入。迄今为止,绝大多数的情境感知的移动应用专业,如医疗保健和旅游,缺乏通用性和适应性。这就是为什么需要一个能满足未来大型网络应用的环境模型。本论文为解决这个问题，提出了一个通常足够用于实现城市设置的环境模型，所要解决的问题是为贯穿整个网络的广泛的、多样化的移动应用提供环境感知服务。本文提出了一种对现有模型的分析,介绍了作者认同的O + L模型(本体加逻辑)，以及能支持模型及其定性评估的原始服务架构。
Context Modeling for Urban Mobile Applications
Abstract
Urban settings are host of diverse networking
technologies, from 3G and wired broadband to Wi-Fi,
WiMAX, Bluetooth and, more recently, sensor networks.
Potentially, these co-existing networks can provide rich
inputs to mobile applications that are context aware. To
date, the vast majority of context-aware mobile
applications are specialized, e.g. healthcare and
tourism, and they lack generality and adaptability. It is
therefore essential to use a context model that will match
the requirements of a large range of future urban
networks applications. The question addressed by this
paper is to propose an appropriate context model that is
general enough to be effective for urban settings, the
challenge being to provide the context-aware service to
a wide variety of mobile applications across all
networks. This paper presents an analysis of existing
models, introduces the O+L model (ontologies plus
logic) adopted by the authors, the original service
architecture that supports the model and its qualitative
eva luation.
