Follow Me, Follow You - Spatiotemporal Community Context Modeling and Adaptation for Mobile Information Systems

Yiwei Cao, R. Klamma, Min Hou, M. Jarke
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引用次数: 24

Abstract

Nowadays various mobile platforms from PDA, smart phones to iPhones can deliver road warriors or trippers much mobile information. However, most mobile applications are lacking the "social intelligence" of real companionship. One reason is that community context and spatiotemporal context information are not well taken into consideration. In this paper we propose an ontology-based context model using OWL/RDF. With the enhanced interoperability substantial context information can be expressed and reasoned across systems. Based on the context model and the middleware Context-Aware Adaptation Service (CAAS), we introduce a mobile tourist guide as proof- of-concept that provides users context-aware information. We employ the MPEG-7 and MPEG-21 metadata standards to realize multimedia adaptation to device preferences. The evaluation result proves the feasibility of the context model and shows the easy extensibility of CAAS.
Follow Me, Follow You——面向移动信息系统的时空社区语境建模与适应
现在各种各样的移动平台,从PDA,智能手机到iphone,都可以为公路战士或旅行者提供大量的移动信息。然而,大多数移动应用程序缺乏真正陪伴的“社交智能”。其中一个原因是没有很好地考虑到社区背景和时空背景信息。本文提出了一种基于OWL/RDF的本体上下文模型。通过增强的互操作性,可以跨系统表达和推理大量上下文信息。基于上下文模型和中间件上下文感知适配服务(CAAS),我们引入了一个移动导游作为概念验证,为用户提供上下文感知信息。我们采用MPEG-7和MPEG-21元数据标准来实现对设备偏好的多媒体适配。评价结果证明了上下文模型的可行性,显示了CAAS的易扩展性。
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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