Address data matching mining platform based on big data storage and mining technology

Abstract

The invention discloses an address data matching mining platform based on the big data storage and mining technology. The address data matching mining platform is achieved through the following steps of the foundation preparation operation, wherein a segmentation library and a fragment library are built, a matching credential library is built, and an efficient index engine is built at the same time; the operation preparation, wherein operations of receiving, managing, check and the like of door address data to be matched is automatically finished; the matching operation, task packages made at the data preparation stage are processed based on a Chinese semantic interpretation technology, the data storage and mining technology and an address matching technology of non-structural data; check and verification, wherein operations of reception, check, verification, error correction, error determination and the like of the task packages to be checked are finished, after the verification operation, the task packages are submitted to an operation manager for check input storage or the task packages are submitted to operators for error elimination; finial verification input storage, wherein input storage process is conducted on the finished operations according to different content. The address data matching mining platform has the advantages of being high in automation degree, easy to operate and learn and the like.

Description

technical field [0001] The invention relates to an address data matching mining platform, in particular to an address data matching mining platform based on big data storage and mining technology. Background technique [0002] Address matching refers to the process of establishing the correspondence of geographic location coordinates with a given address. It also refers to finding and marking the corresponding location of each address on the map. Address matching requires the ability to transplant any data into a spatial coordinate system. This process includes accurate classification and registration of data, and the ability to associate all data with a spatial coordinate system. [0003] If these tasks are manually marked in the map data, it will require considerable manpower and material resources, and there are relatively large subjective factors, so it is not easy to check its correctness. If these address data are connected with GIS through the address matching funct...

AI Technical Summary

Problems solved by technology

However, the address model adopted by the address code manager is too complex, and the software function development is too simple. In specific applications, the address matching rate is very low, and the matching accuracy is poor, usually no more than 10%, and a large number of manual on-site collections are still required. to improve the matching accuracy

Images