Abstract
Accurate Internet access to forest management information can be obtained through the construction of a data collection system for forest management. Based on an analysis of the data collection, system process, system module and database were designed, rules governing web crawlers were improved and delimited, and workflow and algorithm of web crawlers were explored. This system summarized and analyzed the characteristics observed from webpages featuring forest management, and served to identify those collected data contents with an eigenvector of forest management. Information about forest management was also denoised by this system; information was extracted through intelligence match, and repeated information about forest management was eliminated through fingerprint recognition by Euclidean distance. The experiment results indicated that this data collection system for forest management featured high subject relevance, high accuracy, and low repetition rate. Therefore, it can satisfy the need of the forest management decision support system.
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