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With the rapid development of Internet of Things communication technology, the application of big data technology can improve the application level of Internet of Things communication technology to a certain extent. In the operation process of the Internet of Things communication big database, its operation speed and processing efficiency are the important foundation to improve the Internet of Things communication big data and application benefits. In order to improve its running speed and processing efficiency, the semi-structured data identification method can be analyzed based on the Internet of Things communication database. In the specific research process, it is necessary to study the specific situation of semi-structured data and explore the main characteristics of semi-structured data. By analyzing the sparsity coefficient and sparsity subspace of data in large database, we can master the correlation characteristics of different data. According to the semi-structured data structure, we can use the combination of principal component analysis and Delphi algorithm to form a comprehensive weighting method to scientifically determine the index weight in the process of semi-structured data identification. This recognition method can reduce the data rewriting rate and ensure the reliability of recognition results, and its practical application value is also prominent.
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