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Context-driven RDF data replication on mobile devices ~1

机译:移动设备上上下文驱动的RDF数据复制〜1

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摘要

With the continuously growing amount of structured data available on the Semantic Web there is an increasing desire to replicate such data to mobile devices. This enables services and applications to operate independently of the network connection quality. Traditional replication strategies cannot be properly applied to mobile systems because they do not adopt to changing user information needs, and they do not consider the technical, environmental, and infrastructural restrictions of mobile devices. herefore, it is reasonable to consider contextual information, gathered from physical and logical sensors, in the replication process, and replicate only data that are actually needed by the user. In this paper we present a framework that uses Semantic Web technologies to build comprehensive descriptions of the user's information needs based on contextual information, and employs these descriptions to selectively replicate data from external sources. In consequence, the amount of replicated data is reduced, while a maximum share of relevant data are continuously available to be used by applications, even in situations with limited or no network connectivity.
机译:随着语义Web上可用的结构化数据量的不断增长,人们越来越希望将此类数据复制到移动设备。这使服务和应用程序可以独立于网络连接质量运行。传统复制策略不能正确地应用于移动系统,因为它们不能适应不断变化的用户信息需求,并且它们没有考虑移动设备的技术,环境和基础设施限制。因此,在复制过程中考虑从物理和逻辑传感器收集的上下文信息并仅复制用户实际需要的数据是合理的。在本文中,我们提供了一个框架,该框架使用语义Web技术基于上下文信息构建用户信息需求的全面描述,并使用这些描述来选择性地复制来自外部源的数据。结果,减少了复制的数据量,同时即使在网络连接有限或没有连接的情况下,应用程序也可以连续使用最大份额的相关数据。

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