Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (7): 160-164.doi: 10.13474/j.cnki.11-2246.2023.0218

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Multi-source data fusion and transformation method of provincial fundamental geo-entities based on knowledge-rule

YE Fen, HU Yan, YANG Qilin, HU Xiaodan   

  1. The First Surveying and Mapping Institute of Hunan Province, Changsha 410114, China
  • Received:2022-09-29 Online:2023-07-25 Published:2023-08-08

Abstract: While Hunan's new fundamental surveying and mapping system is progressing steadily, the transformation and database construction of fundamental geo-entities on the provincial level is one of the important tasks. Under the premise of following the relevant technical standards of the Ministry of Natural Resources, a set of standards and specifications for the classification of fundamental geo-entities applicable to Hunan province has been established. By integrating the 1∶10 000 fundamental geographical information and the annual changes of the third national land resource survey and other multi-source data, taking the geo-entity codes as the unified identifier, the research proposes a knowledge-rule based multi-source data fusion and transformation method for provincial geo-entities after making full use of the existing stock data, and realizing the standardization transformation of provincial fundamental geo-entity data, so as to avoid the waste of resources in repeated production, and greatly improve the production efficiency of fundamental geo-entities. Therefore, it is conducive to the promotion and application of fundamental geo-entities in the industry.

Key words: 1∶10 000 fundamental geographic information, multi-source data, geo-entity, fusion and transformation, knowledge-rule

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