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Transparent Mobile Querying of Online RDF Sources Using Semantic Indexing and Caching

机译:使用语义索引和缓存的在线RDF源透明移动查询

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摘要

Due to advancements in mobile technology and connectivity, mobile devices have become fully-fledged web clients. At the same time, more and more Semantic Web data is becoming available, to a point where it becomes usable for various mobile application scenarios. However, most applications are limited to using pre-defined query endpoints in order to access Semantic Web data, which leaves a huge part of the Semantic Web, consisting of online RDF files and semantically annotated websites, inaccessible. In this paper, we present a mobile query service for the efficient and transparent querying of large amounts of small online RDF sources. In order to achieve this, the query service relies on two key components: 1/ a lightweight semantics-based indexing scheme, to identify sources relevant to posed queries, and 2/ a caching mechanism that locally stores frequently-used data.
机译:由于移动技术和连接性的进步,移动设备已成为成熟的Web客户端。同时,越来越多的语义Web数据变得可用,以至于它可用于各种移动应用程序场景。但是,大多数应用程序仅限于使用预定义的查询端点来访问语义Web数据,从而无法访问由在线RDF文件和带有语义注释的网站组成的语义Web的很大一部分。在本文中,我们提出了一种移动查询服务,用于高效,透明地查询大量小型RDF在线资源。为了实现这一点,查询服务依赖于两个关键组件:1 /一种轻量级的基于语义的索引方案,用于识别与所提出的查询有关的源; 2 /一种缓存机制,用于本地存储经常使用的数据。

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