大数据下金属勘探学科智慧图书馆信息资源管理

Intelligent library information resources management of metal exploration subject under the big data

提出一种基于语义特征自适应匹配的大数据环境下对金属勘探学科图书检索方法，实现对智慧图书馆信息资源的优化管理。进行图书馆的信息资源模型构建，然后进行语义特征提取，采用自适应调度方法实现图书管理信息的优化检索，提高图书的咨询索引和查询能力。实验结果表明，该方法的图书信息查准率较高。

This paper presents an adaptive matching semantic features of large data environment of metal exploration subject books retrieval method, to realize the optimization of wisdom library information resources management. Were model of library information resources construction, and then to extract the semantic features, the adaptive scheduling method to realize the optimization of library management information retrieval, improve the query ability of books.