Data Quality Control Framework of an Intelligent Community from a Big Data Perspective

To solve the information island problem caused by the incompatibility of heterogeneous data and cross-platforms using the construction process of an intelligent community, ontology meta-modeling methods and description logic were used. For each layer of data, standardized construction, data, metadata, meta-model, and relationships were formalized, and intelligent reasoning mechanisms were used to construct a data quality control framework. This framework can better facilitate data standardization and improved data quality as a data solution for the intelligent construction process.