Research on the Methods for Batch Automatic Governance of Places Based on Geographic Data and Text Mining
Aiming at the problem of governing places by manually marking and drawing on maps is time-consuming and labor-intensive in actual business scenarios,an automatic place governance method based on geographic data and text mining was proposed. This method builds an intelligent place governance model based on text mining technology,similarity algorithm and geographic information calculation. The model carries out text analysis on the point of interest data and area of interest data,and mining the common features between the two data. Based on the common features,the place is automatically created and the parts of place are generated. By analyzing the spatial position relationship and attribute common features between the place and the camera device,the association relationship between the place and the camera device is established,and the label features of the camera device are generated through the association relationship,ultimately completing batch automated governance of the places. The model has been effectively verified on the geographical data of several cities,and the verification results show that the model has a good application effects on the automatic management of places.
geographic datageographical informationtext similarityautomatic governance of places
万方数据
维普
