Automatic semantic annotation system for Internet of Things data

Abstract

The invention relates to an automatic semantic annotation system for Internet of Things data, which belongs to the field of combination of Internet of Things technology and semantic network technology and comprises an Internet of Things sensor data preprocessing module, an Internet of Things field ontology module, a data RDF processing module and a semantic annotation module. The Internet of Things sensor data preprocessing module is used for analyzing and preprocessing the sensor data, performing format and position analysis on the sensing data, and mining hidden knowledge information in the data by using a clustering algorithm; the Internet of Things domain ontology module is used for representing semantic concepts of sensor node data in the Internet of Things and attributes and relations of the concepts; the data RDF processing module is used for converting the preprocessed Internet of Things sensor data flow into RDF format data containing semantic information in a formatting manner; and the semantic annotation module is used for adding concepts and attributes to the sensor data flow in the RDF triple format after clustering analysis by using an inference rule defined based on the SWRL language.

Description

technical field [0001] The invention belongs to the combined field of Internet of Things technology and Semantic Web technology, and relates to an automatic semantic annotation system for Internet of Things data. Background technique [0002] The rapid development of IoT technology has led to the emergence of various IoT products. On the one hand, hardware prices have dropped, and on the other hand, everyday devices and appliances are equipped with more powerful hardware, resulting in an increasing number of sensor nodes. Massive data requires various operations to achieve high-quality data processing, such as real-time reporting, spatial distribution, diversity of sensors, and effective data processing. Since the sensor equipment comes from different manufacturers, different sensors have different data output formats, precision, and data length. Even if the same type of sensor is different due to design reasons and different manufacturers, the output form of data will also ...

AI Technical Summary

Problems solved by technology

[0004] Existing automatic semantic annotation, processing methods and systems for IoT data generally only carry out semantic descriptions for IoT devices, and do not process any data to achieve the same semantic representation of heterogeneous data sources. The existing annotation dictionary generation methods are only applicable It is suitable for text content and is not suitable for large-scale data sets; the existing technology screens ontology concepts based on the similarity of semantic information, and the accuracy and efficiency are low

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