Public Science Resource Management Platform for Earthquake Prevention and Disaster Reduction Based on Data Mining Techniques

In view of the problems existing in the public science resources of earthquake prevention and disaster reduction, such as multiple data types, difficulty in management and massive data retrieval, low utilization rate and uncertain accuracy of publicity materials, this paper designs a public science resources management platform based on Hadoop architecture. By means of web crawler and manual entry under the searching index catalog, the platform supports collecting relevant data of earthquake prevention and disaster reduction that enables classification of different data types and scientific methods for the management of public science resources.