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Design and implementation of a semantic gateway based on SSN ontology

机译：基于SSN本体的语义网关的设计与实现

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The massive data in the industrial big data field mainly comes from a large number of sensors. Sensor data is discrete numerical data with heterogeneity. In scenarios such as edge computing, it is often necessary to mine the relationships between the data in the data stream so as to realize the full use of heterogeneous sensor data. Because the sensor data does not contain contextual semantic relations, the relationship between the data is difficult to be discovered. Aiming at the above shortcomings, we design and implement a semantic gateway with semantic annotation function. The original sensor data will become RDF data with semantic information after being processed by the semantic gateway. Our work is mainly divided into two aspects: according to the source and actual characteristics of the data, we choose to carry out the semantic work based on the SSN ontology; next, we propose an OB2R algorithm to realize the semantic annotation function of the data, and the correctness of the algorithm is verified on the PHM2010 dataset.
机译：工业大数据领域的大规模数据主要来自大量传感器。传感器数据是具有异质性的离散数值数据。在诸如边缘计算的场景中，通常需要在数据流中的数据之间进行关系，以便实现异构传感器数据的充分利用。因为传感器数据不包含上下文语义关系，所以难以发现数据之间的关系。针对上述缺点，我们设计并实现了语义注释功能的语义门户。原始传感器数据将成为语义网关处理后的语义信息的RDF数据。我们的工作主要分为两个方面：根据数据的来源和实际特征，我们选择根据SSN本体进行语义工作;接下来，我们提出了一个OB2R算法来实现数据的语义注释功能，并且在PHM2010数据集上验证了算法的正确性。

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