面向物联网平台互操作性的语义提取器

Wenbin Li, G. Privat, F. Gall
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引用次数: 9

摘要

实现物联网(IoT)平台的互操作性提出了一个关键挑战,因为目前大多数物联网应用都是垂直集成在单独的孤岛中,没有水平通信。为此,我们提出了语义提取器,这是一个从物联网平台暴露的REST接口中自动提取语义图的框架。通过提取、识别、推断、丰富和精炼的迭代过程,我们的框架能够发现物联网资源,为平台的有效载荷添加语义,并捕获物联网平台暴露的资源内部和资源之间的潜在链接,从中可以推导出进一步的语义。我们通过示例展示了如何通过这种迭代过程增量生成和丰富RDF图,以实现物联网平台的互操作。最后给出了实现体系结构。
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Towards a semantics extractor for interoperability of IoT platforms
Achieving the interoperability of Internet of Things (IoT) platforms raises a key challenge, as most current IoT applications are vertically integrated within separate silos without horizontal communications. In response to this, we propose the Semantics Extractor, a framework for automatic extraction of semantic graphs from REST interfaces exposed by IoT platforms. Through an iterative process of extracting, identifying, inferring, enriching and refining, our framework is able to discover IoT resources, add semantics to platforms' payloads and capture latent links within and between resources exposed by IoT platforms, from which further semantics can be deduced. We show via examples how RDF graphs are incrementally generated and enriched by such iteration process to interoperate IoT platforms. At last we present an implementation architecture.
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