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How Interlinks Influence Federated over SPARQL Endpoints

机译:互连如何影响SPARQL端点上的联合

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As the Web of Data grows, the number of available SPARQL endpoints increases. SPARQL endpoints conceptually represent RPC-style, coarse-grained data access mechanisms. Nevertheless, through the potential interlinking of the contained entities, SPARQL endpoints should be able to over distinct advantages over plain Web APIs. To our knowledge, to date, there has been no study conducted that gauges the impact of the link on SPARQL query execution, especially in a federated set-up. In this paper, we investigate how the existence and types of typed links influences the execution characteristics of different SPARQL federation frameworks. In order to measure the query performance, we propose a combined cost model based on a statistic analysis of the query performance metrics that involves parameters such as type of link, the data catalogues and cache, number of links, and number of distinct subjects. As result, we show that number of distinct subject and number of links have significant impact on Federation over SPARQL Endpoints performance whereas type of link does not have significantly influence in federation query performance.
机译:随着数据网络的发展,可用的SPARQL端点的数量增加。 SPARQL端点在概念上表示RPC样式的粗粒度数据访问机制。但是,通过所包含实体的潜在互连,SPARQL端点应该能够超越纯Web API的独特优势。据我们所知,到目前为止,还没有进行过评估链接对SPARQL查询执行的影响的研究,尤其是在联合设置中。在本文中,我们研究类型链接的存在和类型如何影响不同SPARQL联合框架的执行特性。为了衡量查询性能,我们基于对查询性能指标的统计分析提出了一种组合成本模型,其中涉及诸如链接类型,数据目录和缓存,链接数以及不同主题数之类的参数。结果,我们表明,不同主题的数量和链接数量对SPARQL端点性能对联盟的影响很大,而链接的类型对联盟查询性能的影响不明显。

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