用于嵌入式系统网络的SPARQL
SPARQL for Networks of Embedded Systems
摘要：
语义Web（或Web of Data）代表了在Web上链接和共享数据的成功尝试。Web of Data的基石是作为数据格式的RDF和作为事实标准查询语言的SPARQL。最近的趋势显示了数据网络向物联网的演变，集成了嵌入式设备和智能对象。来自这些设备的数据不共享通用格式，使得集成和查询变得不可能。为了克服这个问题，我们提出了我们的方法，使嵌入式系统的物联网的一流公民。我们的框架从单个部署中抽象出来，将它们表示为符合语义Web背后思想的公共数据源。这包括对来自嵌入式设备池和/或外部数据源的数据执行任意SPARQL查询。在嵌入式网络中处理冗长的RDF数据和执行SPARQL查询对最小化所涉及的处理和通信成本提出了重大挑战。因此，我们提出了一个网络查询处理器，旨在推动设备上的处理步骤。我们展示了我们的框架的实际应用和潜在的好处，在一个全面的评估，使用现实世界的部署和一系列的SPARQL查询源于一个常见的用例的Web的东西。
英文摘要：
The Semantic Web (or Web of Data) represents the successful efforts towards linking and sharing data over the Web. The cornerstones of the Web of Data are RDF as data format and SPARQL as de-facto standard query language. Recent trends show the evolution of the Web of Data towards the Web of Things, integrating embedded devices and smart objects. Data stemming from such devices do not share a common format, making the integration and querying impossible. To overcome this problem, we present our approach to make embedded systems first-class citizens of the Web of Things. Our framework abstracts from individual deployments to represent them as common data sources in line with the ideas behind the Semantic Web. This includes the execution of arbitrary SPARQL queries over the data from a pool of embedded devices and/or external data sources. Handling verbose RDF data and executing SPARQL queries in an embedded network poses major challenges to minimize the involved processing and communication cost. We therefore present an in-network query processor aiming to push processing steps onto devices. We demonstrate the practical application and the potential benefits of our framework in a comprehensive evaluation using a real-world deployment and a range of SPARQL queries stemming from a common use case of the Web of Things.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
