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Toward Reducing Query Response Time for Mobile Emergency Assistance Applications through a Ontology-based Semantic Cache Model

机译:通过基于本体的语义缓存模型来减少移动紧急援助应用程序的查询响应时间

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This paper presents an approach for reducing the query response time for mobile emergence assistance applications through an ontology-based semantic cache model. The contribution is characterized for providing routines and medical protocol specifications for specialists using natural language, collecting elements from this language to develop an ontology for the domain and employing a semantic cache for an enhanced utilization of mobile devices. A prototype of the proposed system was implemented targeting at support specialists during a day-today basis. Early experiments adopting the query response time, as a metric for performance measurements, have proved to be successfully for emergency applications.
机译:本文提出了一种通过基于本体的语义缓存模型来减少移动紧急援助应用程序的查询响应时间的方法。该贡献的特征在于为使用自然语言的专家提供例程和医疗协议规范,从该语言收集元素以开发该领域的本体并使用语义缓存来增强移动设备的利用率。每天针对支持专家实施提议的系统的原型。早期采用查询响应时间作为性能度量标准的实验已证明对于紧急应用是成功的。

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